Seth/gemma4-research
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
Files
master
gemma4-research/tooling/fine-tuning/unsloth/notebooks/Gemma4_(31B)-Vision.ipynb
T
Mortdecai eecebe7ef5 docs: add canonical tooling corpus (147 files) from Google/HF/frameworks 
Five-lane parallel research pass. Each subdir under tooling/ has its own
README indexing downloaded files with verified upstream sources.

- google-official/: deepmind-gemma JAX examples, gemma_pytorch scripts,
  gemma.cpp API server docs, google-gemma/cookbook notebooks, ai.google.dev
  HTML snapshots, Gemma 3 tech report
- huggingface/: 8 gemma-4-* model cards, chat-template .jinja files,
  tokenizer_config.json, transformers gemma4/ source, launch blog posts,
  official HF Spaces app.py
- inference-frameworks/: vLLM/llama.cpp/MLX/Keras-hub/TGI/Gemini API/Vertex AI
  comparison, run_commands.sh with 8 working launches, 9 code snippets
- gemma-family/: 12 per-variant briefs (ShieldGemma 2, CodeGemma, PaliGemma 2,
  Recurrent/Data/Med/TxGemma, Embedding/Translate/Function/Dolphin/SignGemma)
- fine-tuning/: Unsloth Gemma 4 notebooks, Axolotl YAMLs (incl 26B-A4B MoE),
  TRL scripts, Google cookbook fine-tune notebooks, recipe-recommendation.md

Findings that update earlier CORPUS_* docs are flagged in tooling/README.md
(not applied) — notably the new <|turn>/<turn|> prompt format, gemma_pytorch
abandonment, gemma.cpp Gemini-API server, transformers AutoModelForMultimodalLM,
FA2 head_dim=512 break, 26B-A4B MoE quantization rules, no Gemma 4 tech
report PDF yet, no Gemma-4-generation specialized siblings yet.

Pre-commit secrets hook bypassed per user authorization — flagged "secrets"
are base64 notebook cell outputs and example Ed25519 keys in the HDP
agentic-security demo, not real credentials.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-18 12:24:48 -04:00

6404 lines
242 KiB
Plaintext
Raw Permalink Blame History

This file contains invisible Unicode characters
This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "2vQXvnUUsTzI"
},
"source": [
"To run this, press \"*Runtime*\" and press \"*Run all*\" on a Google Colab A100 instance!\n",
"<div class=\"align-center\">\n",
"<a href=\"https://unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
"<a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord button.png\" width=\"145\"></a>\n",
"<a href=\"https://unsloth.ai/docs/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a> Join Discord if you need help + ⭐ <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> ⭐\n",
"</div>\n",
"\n",
"To install Unsloth on your local device, follow [our guide](https://unsloth.ai/docs/get-started/install). This notebook is licensed [LGPL-3.0](https://github.com/unslothai/notebooks?tab=LGPL-3.0-1-ov-file#readme).\n",
"\n",
"You will learn how to do [data prep](#Data), how to [train](#Train), how to [run the model](#Inference), & how to save it"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "7j01DfVgsTzJ"
},
"source": [
"### News"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6dT42nHksTzJ"
},
"source": [
"Introducing **Unsloth Studio** - a new open source, no-code web UI to train and run LLMs. [Blog](https://unsloth.ai/docs/new/studio) • [Notebook](https://colab.research.google.com/github/unslothai/unsloth/blob/main/studio/Unsloth_Studio_Colab.ipynb)\n",
"\n",
"<table><tr>\n",
"<td align=\"center\"><a href=\"https://unsloth.ai/docs/new/studio\"><img src=\"https://unsloth.ai/docs/~gitbook/image?url=https%3A%2F%2F3215535692-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FxhOjnexMCB3dmuQFQ2Zq%252Fuploads%252FxV1PO5DbF3ksB51nE2Tw%252Fmore%2520cropped%2520ui%2520for%2520homepage.png%3Falt%3Dmedia%26token%3Df75942c9-3d8d-4b59-8ba2-1a4a38de1b86&width=376&dpr=3&quality=100&sign=a663c397&sv=2\" width=\"200\" height=\"120\" alt=\"Unsloth Studio Training UI\"></a><br><sub><b>Train models</b> — no code needed</sub></td>\n",
"<td align=\"center\"><a href=\"https://unsloth.ai/docs/new/studio\"><img src=\"https://unsloth.ai/docs/~gitbook/image?url=https%3A%2F%2F3215535692-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FxhOjnexMCB3dmuQFQ2Zq%252Fuploads%252FRCnTAZ6Uh88DIlU3g0Ij%252Fmainpage%2520unsloth.png%3Falt%3Dmedia%26token%3D837c96b6-bd09-4e81-bc76-fa50421e9bfb&width=376&dpr=3&quality=100&sign=c1a39da1&sv=2\" width=\"200\" height=\"120\" alt=\"Unsloth Studio Chat UI\"></a><br><sub><b>Run GGUF models</b> on Mac, Windows & Linux</sub></td>\n",
"</tr></table>\n",
"\n",
"Train MoEs - DeepSeek, GLM, Qwen and gpt-oss 12x faster with 35% less VRAM. [Blog](https://unsloth.ai/docs/new/faster-moe)\n",
"\n",
"Ultra Long-Context Reinforcement Learning is here with 7x more context windows! [Blog](https://unsloth.ai/docs/new/grpo-long-context)\n",
"\n",
"New in Reinforcement Learning: [FP8 RL](https://unsloth.ai/docs/new/fp8-reinforcement-learning) • [Vision RL](https://unsloth.ai/docs/new/vision-reinforcement-learning-vlm-rl) • [Standby](https://unsloth.ai/docs/basics/memory-efficient-rl) • [gpt-oss RL](https://unsloth.ai/docs/new/gpt-oss-reinforcement-learning)\n",
"\n",
"Visit our docs for all our [model uploads](https://unsloth.ai/docs/get-started/unsloth-model-catalog) and [notebooks](https://unsloth.ai/docs/get-started/unsloth-notebooks)."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "K7fgQkATsTzK"
},
"source": [
"### Installation"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "vA7IKFdUsTzK"
},
"outputs": [],
"source": "%%capture\nimport os, re\nif \"COLAB_\" not in \"\".join(os.environ.keys()):\n !pip install unsloth # Do this in local & cloud setups\nelse:\n import torch; v = re.match(r'[\\d]{1,}\\.[\\d]{1,}', str(torch.__version__)).group(0)\n xformers = 'xformers==' + {'2.10':'0.0.34','2.9':'0.0.33.post1','2.8':'0.0.32.post2'}.get(v, \"0.0.34\")\n !pip install sentencepiece protobuf \"datasets==4.3.0\" \"huggingface_hub>=0.34.0\" hf_transfer\n !pip install --no-deps unsloth_zoo bitsandbytes accelerate {xformers} peft trl triton unsloth\n!pip install --no-deps transformers==5.5.0\n!pip install torchcodec\nimport torch; torch._dynamo.config.recompile_limit = 64;"
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "Mp4i13PHsTzK"
},
"outputs": [],
"source": [
"%%capture\n",
"!pip install --no-deps --upgrade timm # For Gemma 4 vision/audio"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "GFOEZbP7ONMs"
},
"source": [
"### Unsloth"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "QmUBVEnvCDJv",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 461,
"referenced_widgets": [
"cca48201ab524349b98bd7dc3ec0a371",
"a74922ad802c4cfe96d3f7c9d0215877",
"30e429603fbb48469d80e5ca48305216",
"2bc496ecfb4e410ba3ba46451dd38cac",
"ddb467daf231485199b6820c1c87be59",
"6c30ba7b3fc84a63b7b8975e8b17991c",
"3b10e74e5c6b421092b314f71f7e9217",
"d2bc2f8ade924beca4c2db847efa6f5d",
"eed52dc4a67d4253983ee7b20918152d",
"642d63ab9f7c451fa96a0633c1a7f23c",
"72cbdfb8889a4da0bcc0a4e5d5a67ac2",
"26121d7e6555452ab0f5ac2a6681d864",
"e239143f8ec0425db6135a5d749c2c53",
"b86cb0f30f674656aff10b0701f9f26f",
"a7cf44db72fc47b8b8f7a084b7585656",
"acbd99a66aa846d78396dcf40ebc8bd7",
"35ae415e878e486fa0caad09b8408067",
"0b4dda8099954b0d8851c05e24ed0e35",
"cbd50ad058134a36bfcd386deac87fb8",
"1d572d34d67b4d6b832203a27f44f93c",
"b988bc006f284214883cba413dfb5fc3",
"1b43696ca662419ea0c970b05d89441d",
"69394dfeff2a4286bb7088f599bf4c0b",
"a4e7a791f92449978900effc00e5100a",
"49e5b9f4cea744fc8f38a8adabc0bd42",
"08785606a9034297aa16181720c51142",
"e6e357b71bb8474d82d98ce813aa2183",
"a36232c6617141a1b0fdfe0108550ae0",
"7563a57897d846f6ba41007b0c92135e",
"da65718025e64f83a198f99f8fa48c3b",
"96e509dc48aa456da20260357e60677b",
"63f6774afc314b52b1ba82f5335d67a3",
"b4357ad98d3b4113ae9dab45333b8ee4",
"b7eddc272b2f4b0db9d910b1fa53bae1",
"c25094678b464bd0b693dcfe333da14f",
"5332bd2cc65145c49a843bc835d51373",
"903d6cf82ea44919a1739b2fbae8f16a",
"5382cb936c2b46d59e1819622ee8ef39",
"bc3b830bad5c4d78b64406b4f19cc370",
"09a61bb08189489687754346b906b875",
"91bb3728a52042aeb9947caf54dda34e",
"1aadf052247c44d8bb0081cd68234fa8",
"1e5f5a2acd9b47ed972c98ef4428f03d",
"31cbc371336f456795651381a7e3ad0a",
"0dbb262cf30643659120f8cdb5b3171c",
"abd6e0b4b3f24f1cb818aab793d61477",
"b30a2b86573844d5bf4a6f43e5bd8823",
"6c98eca1409f4e1ba2e7865b2992f51e",
"bceaf428e3fc4bcea2318512a7c6ef4b",
"5cdef7c8d58c441daaaddb9f34bc1a7d",
"5c4901ca1dd44ee69bb5bb76b1cb3fb4",
"25768d586f0f4d5cb9c86d01b13e7fa1",
"f962bb7a63094308b1ec98cd84c90637",
"9a305de1de4a4fb797d14e996e802ca0",
"29a723a6b8b7436faa14620beff25597",
"87fa7a1186c04503994d3ca6781f2fa2",
"70dd1d3746a14a5cac5fb65edb8ac231",
"6144783cd98542e3ac0488d1f1c92c35",
"d605282333054e82a1d8507be830f02f",
"dfbb2f74208243238c1dc88dcc4d45e7",
"555c3a2ab47c4cb4b872fd067c15c600",
"e60657aaf58d4373a3e777352ab720c3",
"7c9085eed1be41b8b6d61f5eef968825",
"0357ffa5f3224994a2917f7f09affff3",
"062b5afb6d9f492aa62fd5547fc6d5eb",
"6e53b93ebdf045e9b94eedd1bd489b3d",
"d2a7e731aa05474299243a698d8f8e76",
"9c8ecc577ca6479aad38d1af6c783685",
"5cd3447374284aa6a9d62e5a72f5ff3c",
"b49a335de14944a5afb36a8ec263c6c8",
"94e9455af5d94b089a5ceb122446b782",
"3aae33b4c0ef45e597513265bc4b0681",
"2efb2666390a482b913a30109a7e2472",
"0ce0b6f052db48c28f7788e95df7c1f3",
"01917cd89aef4db0aa18675636f4e981",
"58ee20c84f774dceaa69985bd3c63afa",
"9d8eb917864e4be1b788f9cfcd64e182",
"a955958aff0444a4839aafca8566065c",
"867f014d40bd409fa6c845436b050fd3",
"dd08aebf4c9b44b692534426ea948cdb",
"6e0c925129ea45b6bce91769e084e9f3",
"e3a3e391d3114a94985fd3db6cc5ee1a",
"c224a759bea64ffbbf3b645a59cd79c5",
"e696b055c6934f1186078767877ff2a2",
"319292819e264a19a27685601c70f9b6",
"bb1795785a6a44ec9b17b31b1075cbb3",
"5536ee38467e4557bbb1209cb7b4e424",
"b9c49626bcbb4e8bb6d4a01a08fab4dd",
"4cfc78a661dd4837b26a78d7dba376b0",
"ee345697fcfc4468a50627bcff074655",
"3ed7a054b0104bd09132227f1ed413ba",
"59667e10734c42218476077f7741da15",
"e1d2d9a63d3f43dca2a8e097470d2c76",
"a743692b1eae456cad70ecf0d3752493",
"d6ad093be12e4a3e9b7c75160aeb2fb9",
"746d3b1ccba940e69fc9bf50eb1986c8",
"580577e9f9a5425f9ca10479f42b3d16",
"27b4eafed4584bcda6f88f1fb82f9212",
"d6caa192c711497b856f18df2f5d9a62"
]
},
"outputId": "a348cecd-dff0-4511-80fb-c1c3e1079230"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
"Unsloth: Your Flash Attention 2 installation seems to be broken. Using Xformers instead. No performance changes will be seen.\n",
"🦥 Unsloth Zoo will now patch everything to make training faster!\n",
"==((====))== Unsloth 2026.4.4: Fast Gemma4 patching. Transformers: 5.5.0.\n",
" \\\\ /| NVIDIA A100-SXM4-40GB. Num GPUs = 1. Max memory: 39.494 GB. Platform: Linux.\n",
"O^O/ \\_/ \\ Torch: 2.10.0+cu128. CUDA: 8.0. CUDA Toolkit: 12.8. Triton: 3.6.0\n",
"\\ / Bfloat16 = TRUE. FA [Xformers = 0.0.34. FA2 = False]\n",
" \"-____-\" Free license: http://github.com/unslothai/unsloth\n",
"Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"model.safetensors.index.json: 0.00B [00:00, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "cca48201ab524349b98bd7dc3ec0a371"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (incomplete total...): 0.00B [00:00, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "26121d7e6555452ab0f5ac2a6681d864"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Fetching 2 files: 0%| | 0/2 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "69394dfeff2a4286bb7088f599bf4c0b"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Loading weights: 0%| | 0/1188 [00:00<?, ?it/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "b7eddc272b2f4b0db9d910b1fa53bae1"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"generation_config.json: 0%| | 0.00/208 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "0dbb262cf30643659120f8cdb5b3171c"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"processor_config.json: 0.00B [00:00, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "87fa7a1186c04503994d3ca6781f2fa2"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"chat_template.jinja: 0.00B [00:00, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "d2a7e731aa05474299243a698d8f8e76"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer_config.json: 0.00B [00:00, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "a955958aff0444a4839aafca8566065c"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"tokenizer.json: 0%| | 0.00/32.2M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "4cfc78a661dd4837b26a78d7dba376b0"
}
},
"metadata": {}
}
],
"source": [
"from unsloth import FastVisionModel # FastLanguageModel for LLMs\n",
"import torch\n",
"\n",
"gemma4_models = [\n",
" # Gemma-4 instruct models:\n",
" \"unsloth/gemma-4-E2B-it\",\n",
" \"unsloth/gemma-4-E4B-it\",\n",
" \"unsloth/gemma-4-31B-it\",\n",
" \"unsloth/gemma-4-26B-A4B-it\",\n",
" # Gemma-4 base models:\n",
" \"unsloth/gemma-4-E2B\",\n",
" \"unsloth/gemma-4-E4B\",\n",
" \"unsloth/gemma-4-31B\",\n",
" \"unsloth/gemma-4-26B-A4B\",\n",
"] # More models at https://huggingface.co/unsloth\n",
"\n",
"model, processor = FastVisionModel.from_pretrained(\n",
" \"unsloth/gemma-4-31B-it\",\n",
" load_in_4bit = True, # Use 4bit to reduce memory use. False for 16bit LoRA.\n",
" use_gradient_checkpointing = \"unsloth\", # True or \"unsloth\" for long context\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "SXd9bTZd1aaL"
},
"source": [
"We now add LoRA adapters for parameter efficient fine-tuning, allowing us to train only 1% of all model parameters efficiently.\n",
"\n",
"**[NEW]** We also support fine-tuning only the vision component, only the language component, or both. Additionally, you can choose to fine-tune the attention modules, the MLP layers, or both!"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "6bZsfBuZDeCL"
},
"outputs": [],
"source": [
"model = FastVisionModel.get_peft_model(\n",
" model,\n",
" finetune_vision_layers = True, # False if not finetuning vision layers\n",
" finetune_language_layers = True, # False if not finetuning language layers\n",
" finetune_attention_modules = True, # False if not finetuning attention layers\n",
" finetune_mlp_modules = True, # False if not finetuning MLP layers\n",
"\n",
" r = 32, # The larger, the higher the accuracy, but might overfit\n",
" lora_alpha = 32, # Recommended alpha == r at least\n",
" lora_dropout = 0,\n",
" bias = \"none\",\n",
" random_state = 3407,\n",
" use_rslora = False, # We support rank stabilized LoRA\n",
" loftq_config = None, # And LoftQ\n",
" target_modules = \"all-linear\", # Optional now! Can specify a list if needed\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "vITh0KVJ10qX"
},
"source": [
"<a name=\"Data\"></a>\n",
"### Data Prep\n",
"We'll use a sampled dataset of handwritten math formulas. The objective is to convert these images into a computer-readable format—specifically LaTeX—so they can be rendered. This is particularly useful for complex expressions.\n",
"\n",
"You can access the dataset [here](https://huggingface.co/datasets/unsloth/LaTeX_OCR). The full dataset is [here](https://huggingface.co/datasets/linxy/LaTeX_OCR)."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"id": "LjY75GoYUCB8",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 177,
"referenced_widgets": [
"19f9e04dafa744d0bbafe658a8cd4479",
"f261579b58c94894a6c186255415e54b",
"d36d30757ab34602ab6411c282171802",
"0ac1ef374ce34494a9ade7b68c1fcb7a",
"588e76027ce9499e8e7683f00c8bd999",
"23bb3393ad0342aaa993c5109af01cbb",
"1b9c16155dec43db992c6140ea535912",
"5b938c6422c64286aed0276899c260b3",
"74fce0116e3b4cf4abde0af7563ebccb",
"a67007d24e9b4a11a35f955db150d486",
"f91df33daa9348e7abede2d855dc0ecb",
"717b21eed2084ebe9ddcf9a0da8c1c7f",
"1e690555c06540359b89b87c6ae62a9c",
"bddd2d47d2bd40fb9d68be94ebacc0d7",
"b875ef0b812d44cd8e1fd102b597149b",
"91c2f197fcf94b02bbbb780cced6c0de",
"8cd8dc2aafd04685b8cb3fb746f08005",
"f30f8e430cad427d9086bc99f6f146be",
"c048a0b91a5a4bf7803fb3d5ba994acd",
"6de4762ccf1a42e6b51f18880b37cd50",
"4d0707913c734e899854b548bc3364a7",
"bd20452eab634993b4a716a1cdd9a4ea",
"ae951bf9259b4054a23534387dc83f8d",
"647e5bcc9d3a4cf4a1e9889cd805c45e",
"a71f8702013a453c894debaa8640a215",
"04ff990ba34c43d99e872fec5f39f0a7",
"1f722501e2894a22b83ed42f482cdec7",
"f28bf1e32d7542479fe827a3723089c9",
"4c298b0109bb4734a876c69ef32e5f6b",
"51da57c93dd549b6981874d40f26049e",
"282c398a45784093a51432726ec260c5",
"b4d4af7fd215445282451eadc69f9bd5",
"b9825625d8f54c188698e0a8d5a03e0b",
"a469f167acc94d0a93fb8bf94fe5c13a",
"4153276526fc459ea16f69f29f82d8dd",
"2006a3d483f24f96b38021cb9a7e3af8",
"77b8d2488e044518add72302d4875797",
"ebb50b363f5d4fd49c35937434858d4d",
"22d14ea43aa6418786ff501f5e1e0cc1",
"1ca26cff3ae149d88a53bb1e165a299a",
"28eec1a723c9433baff472e352125935",
"15583a029d5e4a78a60f68c865d064b1",
"784a50c5430743d98d944aaed6c23479",
"81f8fcd62a8d4077830a3be2ed444cfb",
"e4a0c21c1bc341e589cce85b98ce2737",
"a14ce85211314a9ba56598ef14968b7c",
"116190e5f17946b88241a2b318522765",
"299a8904e4834fe38d81c804e0669a22",
"0a161c324ea94abf955d4824199d79bf",
"40b91e46da234c6bbef9adb542336f43",
"3a3ec79b99c8435ea208b9292b0d3bbb",
"9a55c6d9f4284fae92e4c4fd079c7905",
"9ef11b00c45d436794e9acad12715ec9",
"6d20f7eb80cf4d54a1c34e3d185ee227",
"aa2ede79b4464737a0d504e403af5791"
]
},
"outputId": "7654cb9e-7320-431b-d486-a0e92053facf"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"README.md: 0%| | 0.00/519 [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "19f9e04dafa744d0bbafe658a8cd4479"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"data/train-00000-of-00001.parquet: 0%| | 0.00/344M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "717b21eed2084ebe9ddcf9a0da8c1c7f"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"data/test-00000-of-00001.parquet: 0%| | 0.00/38.2M [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "ae951bf9259b4054a23534387dc83f8d"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Generating train split: 0%| | 0/68686 [00:00<?, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "a469f167acc94d0a93fb8bf94fe5c13a"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Generating test split: 0%| | 0/7632 [00:00<?, ? examples/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "e4a0c21c1bc341e589cce85b98ce2737"
}
},
"metadata": {}
}
],
"source": [
"from datasets import load_dataset\n",
"dataset = load_dataset(\"unsloth/LaTeX_OCR\", split = \"train\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "W1W2Qhsz6rUT"
},
"source": [
"Let's take an overview of the dataset. We'll examine the second image and its corresponding caption."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"id": "bfcSGwIb6p_R",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "b667cc37-92e1-4849-f219-1dfbb9cd52aa"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Dataset({\n",
" features: ['image', 'text'],\n",
" num_rows: 68686\n",
"})"
]
},
"metadata": {},
"execution_count": 6
}
],
"source": [
"dataset"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"id": "uOLWY2936t1n",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 67
},
"outputId": "20ea1342-b7bf-4232-9e29-7d900fcf055f"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<PIL.PngImagePlugin.PngImageFile image mode=RGB size=320x50>"
],
"image/png": "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\n",
"image/jpeg": "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\n"
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"dataset[2][\"image\"]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "lXjfJr4W6z8P",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 70
},
"outputId": "cb5eb325-8bd4-46f1-e3a9-f565d5bd289a"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'H ^ { \\\\prime } = \\\\beta N \\\\int d \\\\lambda \\\\biggl \\\\{ \\\\frac { 1 } { 2 \\\\beta ^ { 2 } N ^ { 2 } } \\\\partial _ { \\\\lambda } \\\\zeta ^ { \\\\dagger } \\\\partial _ { \\\\lambda } \\\\zeta + V ( \\\\lambda ) \\\\zeta ^ { \\\\dagger } \\\\zeta \\\\biggr \\\\} \\\\ .'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 8
}
],
"source": [
"dataset[2][\"text\"]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rKHxfZua1CrS"
},
"source": [
"We can also render LaTeX directly in the browser!"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "nPopsxAC1CrS",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 52
},
"outputId": "df37c129-7a34-43ce-962f-183f266bdb80"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Math object>"
],
"text/latex": "$\\displaystyle \\sigma ^ { \\mu } \\frac { \\lambda ^ { a } } { 2 } A _ { \\mu } ^ { a } .$"
},
"metadata": {}
}
],
"source": [
"from IPython.display import display, Math, Latex\n",
"\n",
"latex = dataset[3][\"text\"]\n",
"display(Math(latex))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "K9CBpiISFa6C"
},
"source": [
"To format the dataset, all vision fine-tuning tasks should follow this format:\n",
"\n",
"```python\n",
"[\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [\n",
" {\"type\": \"text\", \"text\": instruction},\n",
" {\"type\": \"image\", \"image\": sample[\"image\"]},\n",
" ],\n",
" },\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [\n",
" {\"type\": \"text\", \"text\": instruction},\n",
" {\"type\": \"image\", \"image\": sample[\"image\"]},\n",
" ],\n",
" },\n",
"]\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "oPXzJZzHEgXe"
},
"outputs": [],
"source": [
"instruction = \"Write the LaTeX representation for this image.\"\n",
"\n",
"def convert_to_conversation(sample):\n",
" conversation = [\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [\n",
" {\"type\": \"text\", \"text\": instruction},\n",
" {\"type\": \"image\", \"image\": sample[\"image\"]},\n",
" ],\n",
" },\n",
" {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": sample[\"text\"]}]},\n",
" ]\n",
" return {\"messages\": conversation}\n",
"pass"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "FY-9u-OD6_gE"
},
"source": [
"Let's convert the dataset into the \"correct\" format for finetuning:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "gFW2qXIr7Ezy"
},
"outputs": [],
"source": [
"converted_dataset = [convert_to_conversation(sample) for sample in dataset]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ndDUB23CGAC5"
},
"source": [
"The first example is now structured like below:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"id": "gGFzmplrEy9I",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "df44e584-c376-4d2d-c483-4285428edc37"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'messages': [{'role': 'user',\n",
" 'content': [{'type': 'text',\n",
" 'text': 'Write the LaTeX representation for this image.'},\n",
" {'type': 'image',\n",
" 'image': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=160x40>}]},\n",
" {'role': 'assistant',\n",
" 'content': [{'type': 'text',\n",
" 'text': '{ \\\\frac { N } { M } } \\\\in { \\\\bf Z } , { \\\\frac { M } { P } } \\\\in { \\\\bf Z } , { \\\\frac { P } { Q } } \\\\in { \\\\bf Z }'}]}]}"
]
},
"metadata": {},
"execution_count": 12
}
],
"source": [
"converted_dataset[0]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MsRPBIb0JJ6c"
},
"source": [
"Lets take the Gemma 4 instruction chat template and use it in our base model"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"id": "exoDVEvmJN-6"
},
"outputs": [],
"source": [
"from unsloth import get_chat_template\n",
"\n",
"processor = get_chat_template(\n",
" processor,\n",
" \"gemma-4-thinking\"\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "FecKS-dA82f5"
},
"source": [
"Before fine-tuning, let us evaluate the base model's performance. We do not expect strong results, as it has not encountered this chat template before."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"id": "vcat4UxA81vr",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "d5089c79-8359-4dbe-bd66-2b1253310113"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<|channel>thought\n",
"<channel|>The LaTeX code for the equation in the image is:\n",
"\n",
"```latex\n",
"H' = \\beta N \\int d\\lambda \\left\\{ \\frac{1}{2\\beta^2 N^2} \\partial_\\lambda \\zeta^\\dagger \\partial_\\lambda \\zeta + \\mathcal{V}(\\lambda) \\zeta^\\dagger \\zeta \\right\\} .\n",
"```\n",
"\n",
"**Rendered Equation:**\n",
"$$H' = \\beta N \\int d\\lambda \\left\\{ \\frac{1}{2\\beta^2 N^2} \\partial_\\lambda \\zeta^\\dagger \\partial_\\\n"
]
}
],
"source": [
"image = dataset[2][\"image\"]\n",
"instruction = \"Write the LaTeX representation for this image.\"\n",
"\n",
"messages = [\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [{\"type\": \"image\"}, {\"type\": \"text\", \"text\": instruction}],\n",
" }\n",
"]\n",
"input_text = processor.apply_chat_template(messages, add_generation_prompt = True)\n",
"inputs = processor(\n",
" image,\n",
" input_text,\n",
" add_special_tokens = False,\n",
" return_tensors = \"pt\",\n",
").to(\"cuda\")\n",
"\n",
"from transformers import TextStreamer\n",
"\n",
"text_streamer = TextStreamer(processor, skip_prompt = True)\n",
"result = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 128,\n",
" use_cache = True, temperature = 1.0, top_p = 0.95, top_k = 64)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "FeAiMlQ71CrS"
},
"source": [
"You can see it's absolutely terrible! It doesn't follow instructions at all"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "idAEIeSQ3xdS"
},
"source": [
"<a name=\"Train\"></a>\n",
"### Train the model\n",
"Now let's train our model. We do 60 steps to speed things up, but you can set `num_train_epochs=1` for a full run, and turn off `max_steps=None`. We also support `DPOTrainer` and `GRPOTrainer` for reinforcement learning!\n",
"\n",
"We use our new `UnslothVisionDataCollator` which will help in our vision finetuning setup."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"id": "95_Nn-89DhsL",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "1bedc6bd-3573-43d6-b930-46f1312d0870"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Unsloth: Model does not have a default image size - using 512\n"
]
}
],
"source": [
"from unsloth.trainer import UnslothVisionDataCollator\n",
"from trl import SFTTrainer, SFTConfig\n",
"\n",
"trainer = SFTTrainer(\n",
" model = model,\n",
" train_dataset = converted_dataset,\n",
" processing_class = processor.tokenizer,\n",
" data_collator = UnslothVisionDataCollator(model, processor),\n",
" args = SFTConfig(\n",
" per_device_train_batch_size = 1,\n",
" gradient_accumulation_steps = 4,\n",
" max_grad_norm = 0.3,\n",
" warmup_ratio = 0.03,\n",
" max_steps = 60,\n",
" # num_train_epochs = 2, # Set this instead of max_steps for full training runs\n",
" learning_rate = 2e-4,\n",
" logging_steps = 1,\n",
" save_strategy = \"steps\",\n",
" optim = \"adamw_8bit\",\n",
" weight_decay = 0.001,\n",
" lr_scheduler_type = \"cosine\",\n",
" seed = 3407,\n",
" output_dir = \"outputs\",\n",
" report_to = \"none\", # For Weights and Biases or others\n",
"\n",
" # You MUST put the below items for vision finetuning:\n",
" remove_unused_columns = False,\n",
" dataset_text_field = \"\",\n",
" dataset_kwargs = {\"skip_prepare_dataset\": True},\n",
" max_length = 2048,\n",
" )\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"cellView": "form",
"id": "2ejIt2xSNKKp",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "30eaeb52-6380-4bef-fe5f-5fab21c3c0d2"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"GPU = NVIDIA A100-SXM4-40GB. Max memory = 39.494 GB.\n",
"19.482 GB of memory reserved.\n"
]
}
],
"source": [
"# @title Show current memory stats\n",
"gpu_stats = torch.cuda.get_device_properties(0)\n",
"start_gpu_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)\n",
"max_memory = round(gpu_stats.total_memory / 1024 / 1024 / 1024, 3)\n",
"print(f\"GPU = {gpu_stats.name}. Max memory = {max_memory} GB.\")\n",
"print(f\"{start_gpu_memory} GB of memory reserved.\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"id": "yqxqAZ7KJ4oL",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "9842dd7e-0b1f-4f83-de92-982c021bc768"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': 2}.\n",
"==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1\n",
" \\\\ /| Num examples = 68,686 | Num Epochs = 1 | Total steps = 60\n",
"O^O/ \\_/ \\ Batch size per device = 1 | Gradient accumulation steps = 4\n",
"\\ / Data Parallel GPUs = 1 | Total batch size (1 x 4 x 1) = 4\n",
" \"-____-\" Trainable parameters = 266,963,456 of 31,540,049,968 (0.85% trained)\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Unsloth: Will smartly offload gradients to save VRAM!\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"\n",
" <div>\n",
" \n",
" <progress value='60' max='60' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" [60/60 06:15, Epoch 0/1]\n",
" </div>\n",
" <table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: left;\">\n",
" <th>Step</th>\n",
" <th>Training Loss</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>1</td>\n",
" <td>3.049649</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
" <td>3.714972</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <td>3.310120</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <td>3.078652</td>\n",
" </tr>\n",
" <tr>\n",
" <td>5</td>\n",
" <td>2.219565</td>\n",
" </tr>\n",
" <tr>\n",
" <td>6</td>\n",
" <td>1.768622</td>\n",
" </tr>\n",
" <tr>\n",
" <td>7</td>\n",
" <td>1.029011</td>\n",
" </tr>\n",
" <tr>\n",
" <td>8</td>\n",
" <td>0.927911</td>\n",
" </tr>\n",
" <tr>\n",
" <td>9</td>\n",
" <td>0.854767</td>\n",
" </tr>\n",
" <tr>\n",
" <td>10</td>\n",
" <td>0.424313</td>\n",
" </tr>\n",
" <tr>\n",
" <td>11</td>\n",
" <td>0.466835</td>\n",
" </tr>\n",
" <tr>\n",
" <td>12</td>\n",
" <td>0.503272</td>\n",
" </tr>\n",
" <tr>\n",
" <td>13</td>\n",
" <td>0.467726</td>\n",
" </tr>\n",
" <tr>\n",
" <td>14</td>\n",
" <td>0.267040</td>\n",
" </tr>\n",
" <tr>\n",
" <td>15</td>\n",
" <td>0.208669</td>\n",
" </tr>\n",
" <tr>\n",
" <td>16</td>\n",
" <td>0.212328</td>\n",
" </tr>\n",
" <tr>\n",
" <td>17</td>\n",
" <td>0.198571</td>\n",
" </tr>\n",
" <tr>\n",
" <td>18</td>\n",
" <td>0.158870</td>\n",
" </tr>\n",
" <tr>\n",
" <td>19</td>\n",
" <td>0.196536</td>\n",
" </tr>\n",
" <tr>\n",
" <td>20</td>\n",
" <td>0.138079</td>\n",
" </tr>\n",
" <tr>\n",
" <td>21</td>\n",
" <td>0.152322</td>\n",
" </tr>\n",
" <tr>\n",
" <td>22</td>\n",
" <td>0.187750</td>\n",
" </tr>\n",
" <tr>\n",
" <td>23</td>\n",
" <td>0.286993</td>\n",
" </tr>\n",
" <tr>\n",
" <td>24</td>\n",
" <td>0.156409</td>\n",
" </tr>\n",
" <tr>\n",
" <td>25</td>\n",
" <td>0.143032</td>\n",
" </tr>\n",
" <tr>\n",
" <td>26</td>\n",
" <td>0.183632</td>\n",
" </tr>\n",
" <tr>\n",
" <td>27</td>\n",
" <td>0.215106</td>\n",
" </tr>\n",
" <tr>\n",
" <td>28</td>\n",
" <td>0.153457</td>\n",
" </tr>\n",
" <tr>\n",
" <td>29</td>\n",
" <td>0.236711</td>\n",
" </tr>\n",
" <tr>\n",
" <td>30</td>\n",
" <td>0.231810</td>\n",
" </tr>\n",
" <tr>\n",
" <td>31</td>\n",
" <td>0.184119</td>\n",
" </tr>\n",
" <tr>\n",
" <td>32</td>\n",
" <td>0.195166</td>\n",
" </tr>\n",
" <tr>\n",
" <td>33</td>\n",
" <td>0.162600</td>\n",
" </tr>\n",
" <tr>\n",
" <td>34</td>\n",
" <td>0.160010</td>\n",
" </tr>\n",
" <tr>\n",
" <td>35</td>\n",
" <td>0.181705</td>\n",
" </tr>\n",
" <tr>\n",
" <td>36</td>\n",
" <td>0.173868</td>\n",
" </tr>\n",
" <tr>\n",
" <td>37</td>\n",
" <td>0.118509</td>\n",
" </tr>\n",
" <tr>\n",
" <td>38</td>\n",
" <td>0.167147</td>\n",
" </tr>\n",
" <tr>\n",
" <td>39</td>\n",
" <td>0.144002</td>\n",
" </tr>\n",
" <tr>\n",
" <td>40</td>\n",
" <td>0.210267</td>\n",
" </tr>\n",
" <tr>\n",
" <td>41</td>\n",
" <td>0.188537</td>\n",
" </tr>\n",
" <tr>\n",
" <td>42</td>\n",
" <td>0.131262</td>\n",
" </tr>\n",
" <tr>\n",
" <td>43</td>\n",
" <td>0.186414</td>\n",
" </tr>\n",
" <tr>\n",
" <td>44</td>\n",
" <td>0.167026</td>\n",
" </tr>\n",
" <tr>\n",
" <td>45</td>\n",
" <td>0.114353</td>\n",
" </tr>\n",
" <tr>\n",
" <td>46</td>\n",
" <td>0.124952</td>\n",
" </tr>\n",
" <tr>\n",
" <td>47</td>\n",
" <td>0.200051</td>\n",
" </tr>\n",
" <tr>\n",
" <td>48</td>\n",
" <td>0.136990</td>\n",
" </tr>\n",
" <tr>\n",
" <td>49</td>\n",
" <td>0.224131</td>\n",
" </tr>\n",
" <tr>\n",
" <td>50</td>\n",
" <td>0.128734</td>\n",
" </tr>\n",
" <tr>\n",
" <td>51</td>\n",
" <td>0.124725</td>\n",
" </tr>\n",
" <tr>\n",
" <td>52</td>\n",
" <td>0.211169</td>\n",
" </tr>\n",
" <tr>\n",
" <td>53</td>\n",
" <td>0.180625</td>\n",
" </tr>\n",
" <tr>\n",
" <td>54</td>\n",
" <td>0.172517</td>\n",
" </tr>\n",
" <tr>\n",
" <td>55</td>\n",
" <td>0.232271</td>\n",
" </tr>\n",
" <tr>\n",
" <td>56</td>\n",
" <td>0.448664</td>\n",
" </tr>\n",
" <tr>\n",
" <td>57</td>\n",
" <td>0.129194</td>\n",
" </tr>\n",
" <tr>\n",
" <td>58</td>\n",
" <td>0.109717</td>\n",
" </tr>\n",
" <tr>\n",
" <td>59</td>\n",
" <td>0.223892</td>\n",
" </tr>\n",
" <tr>\n",
" <td>60</td>\n",
" <td>0.146485</td>\n",
" </tr>\n",
" </tbody>\n",
"</table><p>"
]
},
"metadata": {}
}
],
"source": [
"trainer_stats = trainer.train()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"cellView": "form",
"id": "pCqnaKmlO1U9",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "dc83f244-231c-483d-83d0-c2d0ebe620f4"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"410.1801 seconds used for training.\n",
"6.84 minutes used for training.\n",
"Peak reserved memory = 21.363 GB.\n",
"Peak reserved memory for training = 1.881 GB.\n",
"Peak reserved memory % of max memory = 54.092 %.\n",
"Peak reserved memory for training % of max memory = 4.763 %.\n"
]
}
],
"source": [
"# @title Show final memory and time stats\n",
"used_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)\n",
"used_memory_for_lora = round(used_memory - start_gpu_memory, 3)\n",
"used_percentage = round(used_memory / max_memory * 100, 3)\n",
"lora_percentage = round(used_memory_for_lora / max_memory * 100, 3)\n",
"print(f\"{trainer_stats.metrics['train_runtime']} seconds used for training.\")\n",
"print(\n",
" f\"{round(trainer_stats.metrics['train_runtime']/60, 2)} minutes used for training.\"\n",
")\n",
"print(f\"Peak reserved memory = {used_memory} GB.\")\n",
"print(f\"Peak reserved memory for training = {used_memory_for_lora} GB.\")\n",
"print(f\"Peak reserved memory % of max memory = {used_percentage} %.\")\n",
"print(f\"Peak reserved memory for training % of max memory = {lora_percentage} %.\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ekOmTR1hSNcr"
},
"source": [
"<a name=\"Inference\"></a>\n",
"### Inference\n",
"Let's run the model! You can modify the instruction and input—just leave the output blank.\n",
"\n",
"We'll use the best hyperparameters for inference on Gemma: `top_p=0.95`, `top_k=64`, and `temperature=1.0`."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"id": "kR3gIAX-SM2q",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "46954df8-cab3-4a85-f4ad-176d7251c998"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<|channel>thought\n",
"<channel|>\\left[ \\left[ B _ { n } ^ { + } , b _ { 2 } ^ { - } \\right] , b _ { 2 } ^ { + } \\right] = n B _ { n } ^ { + } , \\quad \\left[ \\left[ B _ { n } ^ { - } , b _ { 2 } ^ { + } \\right] , b _ { 2 } ^ { - } \\right] = n B _ { n } ^ { - } .<turn|>\n"
]
}
],
"source": [
"image = dataset[10][\"image\"]\n",
"instruction = \"Write the LaTeX representation for this image.\"\n",
"\n",
"messages = [\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [{\"type\": \"image\"}, {\"type\": \"text\", \"text\": instruction}],\n",
" }\n",
"]\n",
"\n",
"input_text = processor.apply_chat_template(messages, add_generation_prompt = True)\n",
"\n",
"inputs = processor(\n",
" image,\n",
" input_text,\n",
" add_special_tokens = False,\n",
" return_tensors = \"pt\",\n",
").to(\"cuda\")\n",
"\n",
"from transformers import TextStreamer\n",
"\n",
"text_streamer = TextStreamer(processor, skip_prompt = True)\n",
"result = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 128,\n",
" use_cache = True, temperature = 1.0, top_p = 0.95, top_k = 64)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "uMuVrWbjAzhc"
},
"source": [
"<a name=\"Save\"></a>\n",
"### Saving, loading finetuned models\n",
"To save the final model as LoRA adapters, use Hugging Face’s `push_to_hub` for online saving, or `save_pretrained` for local storage.\n",
"\n",
"**[NOTE]** This ONLY saves the LoRA adapters, and not the full model. To save to 16bit or GGUF, scroll down!"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"id": "upcOlWe7A1vc",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "4a815ae8-22d9-47ee-ad27-aee38c2b10e9"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['gemma_4_lora/processor_config.json']"
]
},
"metadata": {},
"execution_count": 20
}
],
"source": [
"model.save_pretrained(\"gemma_4_lora\") # Local saving\n",
"processor.save_pretrained(\"gemma_4_lora\")\n",
"# model.push_to_hub(\"your_name/gemma_4_lora\", token = \"YOUR_HF_TOKEN\") # Online saving\n",
"# processor.push_to_hub(\"your_name/gemma_4_lora\", token = \"YOUR_HF_TOKEN\") # Online saving"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "AEEcJ4qfC7Lp"
},
"source": [
"Now if you want to load the LoRA adapters we just saved for inference, set `False` to `True`:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"id": "MKX_XKs_BNZR",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "1ab27847-31a6-4565-d766-485d4c548dab"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<|channel>thought\n",
"<channel|>The image contains a mathematical equation written in LaTeX notation:\n",
"\n",
"$$ D _ { \\mu } ^ { \\alpha \\beta } \\bar { A } _ { \\mu } ^ { \\alpha \\beta } = 0 , $$<turn|>\n"
]
}
],
"source": [
"if False:\n",
" from unsloth import FastVisionModel\n",
"\n",
" model, processor = FastVisionModel.from_pretrained(\n",
" model_name = \"gemma_4_lora\", # YOUR MODEL YOU USED FOR TRAINING\n",
" load_in_4bit = True, # Set to False for 16bit LoRA\n",
" )\n",
"\n",
"sample = dataset[1]\n",
"image = sample[\"image\"].convert(\"RGB\")\n",
"messages = [\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [\n",
" {\n",
" \"type\": \"text\",\n",
" \"text\": sample[\"text\"],\n",
" },\n",
" {\n",
" \"type\": \"image\",\n",
" },\n",
" ],\n",
" },\n",
"]\n",
"input_text = processor.apply_chat_template(messages, add_generation_prompt = True)\n",
"inputs = processor(\n",
" image,\n",
" input_text,\n",
" add_special_tokens = False,\n",
" return_tensors = \"pt\",\n",
").to(\"cuda\")\n",
"\n",
"from transformers import TextStreamer\n",
"\n",
"text_streamer = TextStreamer(processor.tokenizer, skip_prompt = True)\n",
"_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 128,\n",
" use_cache = True, temperature = 1.0, top_p = 0.95, top_k = 64)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "f422JgM9sdVT"
},
"source": [
"### Saving to float16 for VLLM\n",
"\n",
"We also support saving to `float16` directly. Select `merged_16bit` for float16. Use `push_to_hub_merged` to upload to your Hugging Face account! You can go to https://huggingface.co/settings/tokens for your personal tokens. See [our docs](https://unsloth.ai/docs/basics/inference-and-deployment) for more deployment options."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"id": "iHjt_SMYsd3P"
},
"outputs": [],
"source": [
"# Select ONLY 1 to save! (Both not needed!)\n",
"\n",
"# Save locally to 16bit\n",
"if False: model.save_pretrained_merged(\"unsloth_finetune\", processor,)\n",
"\n",
"# To export and save to your Hugging Face account\n",
"if False: model.push_to_hub_merged(\"YOUR_USERNAME/unsloth_finetune\", processor, token = \"YOUR_HF_TOKEN\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TSjNVDCYv-yr"
},
"source": [
"And we're done! If you have any questions on Unsloth, we have a [Discord](https://discord.gg/unsloth) channel! If you find any bugs or want to keep updated with the latest LLM stuff, or need help, join projects etc, feel free to join our Discord!\n",
"\n",
"Some other resources:\n",
"1. Train your own reasoning model - Llama GRPO notebook [Free Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-GRPO.ipynb)\n",
"2. Saving finetunes to Ollama. [Free notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_(8B)-Ollama.ipynb)\n",
"3. Llama 3.2 Vision finetuning - Radiography use case. [Free Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb)\n",
"4. See notebooks for DPO, ORPO, Continued pretraining, conversational finetuning and more on our [documentation](https://unsloth.ai/docs/get-started/unsloth-notebooks)!\n",
"\n",
"<div class=\"align-center\">\n",
" <a href=\"https://unsloth.ai\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
" <a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"145\"></a>\n",
" <a href=\"https://unsloth.ai/docs/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a>\n",
"\n",
" Join Discord if you need help + ⭐️ <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> ⭐️\n",
"</div>\n",
"\n",
" This notebook and all Unsloth notebooks are licensed [LGPL-3.0](https://github.com/unslothai/notebooks?tab=LGPL-3.0-1-ov-file#readme)."
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "A100",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"cca48201ab524349b98bd7dc3ec0a371": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a74922ad802c4cfe96d3f7c9d0215877",
"IPY_MODEL_30e429603fbb48469d80e5ca48305216",
"IPY_MODEL_2bc496ecfb4e410ba3ba46451dd38cac"
],
"layout": "IPY_MODEL_ddb467daf231485199b6820c1c87be59"
}
},
"a74922ad802c4cfe96d3f7c9d0215877": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_6c30ba7b3fc84a63b7b8975e8b17991c",
"placeholder": "​",
"style": "IPY_MODEL_3b10e74e5c6b421092b314f71f7e9217",
"value": "model.safetensors.index.json: "
}
},
"30e429603fbb48469d80e5ca48305216": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d2bc2f8ade924beca4c2db847efa6f5d",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_eed52dc4a67d4253983ee7b20918152d",
"value": 1
}
},
"2bc496ecfb4e410ba3ba46451dd38cac": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_642d63ab9f7c451fa96a0633c1a7f23c",
"placeholder": "​",
"style": "IPY_MODEL_72cbdfb8889a4da0bcc0a4e5d5a67ac2",
"value": " 120k/? [00:00&lt;00:00, 11.1MB/s]"
}
},
"ddb467daf231485199b6820c1c87be59": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6c30ba7b3fc84a63b7b8975e8b17991c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"3b10e74e5c6b421092b314f71f7e9217": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"d2bc2f8ade924beca4c2db847efa6f5d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"eed52dc4a67d4253983ee7b20918152d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"642d63ab9f7c451fa96a0633c1a7f23c": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"72cbdfb8889a4da0bcc0a4e5d5a67ac2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"26121d7e6555452ab0f5ac2a6681d864": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_e239143f8ec0425db6135a5d749c2c53",
"IPY_MODEL_b86cb0f30f674656aff10b0701f9f26f",
"IPY_MODEL_a7cf44db72fc47b8b8f7a084b7585656"
],
"layout": "IPY_MODEL_acbd99a66aa846d78396dcf40ebc8bd7"
}
},
"e239143f8ec0425db6135a5d749c2c53": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_35ae415e878e486fa0caad09b8408067",
"placeholder": "​",
"style": "IPY_MODEL_0b4dda8099954b0d8851c05e24ed0e35",
"value": "Download complete: 100%"
}
},
"b86cb0f30f674656aff10b0701f9f26f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_cbd50ad058134a36bfcd386deac87fb8",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_1d572d34d67b4d6b832203a27f44f93c",
"value": 1
}
},
"a7cf44db72fc47b8b8f7a084b7585656": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b988bc006f284214883cba413dfb5fc3",
"placeholder": "​",
"style": "IPY_MODEL_1b43696ca662419ea0c970b05d89441d",
"value": " 62.5G/62.5G [02:48&lt;00:00, 396MB/s]"
}
},
"acbd99a66aa846d78396dcf40ebc8bd7": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"35ae415e878e486fa0caad09b8408067": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"0b4dda8099954b0d8851c05e24ed0e35": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"cbd50ad058134a36bfcd386deac87fb8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"1d572d34d67b4d6b832203a27f44f93c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"b988bc006f284214883cba413dfb5fc3": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1b43696ca662419ea0c970b05d89441d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"69394dfeff2a4286bb7088f599bf4c0b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a4e7a791f92449978900effc00e5100a",
"IPY_MODEL_49e5b9f4cea744fc8f38a8adabc0bd42",
"IPY_MODEL_08785606a9034297aa16181720c51142"
],
"layout": "IPY_MODEL_e6e357b71bb8474d82d98ce813aa2183"
}
},
"a4e7a791f92449978900effc00e5100a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a36232c6617141a1b0fdfe0108550ae0",
"placeholder": "​",
"style": "IPY_MODEL_7563a57897d846f6ba41007b0c92135e",
"value": "Fetching 2 files: 100%"
}
},
"49e5b9f4cea744fc8f38a8adabc0bd42": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_da65718025e64f83a198f99f8fa48c3b",
"max": 2,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_96e509dc48aa456da20260357e60677b",
"value": 2
}
},
"08785606a9034297aa16181720c51142": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_63f6774afc314b52b1ba82f5335d67a3",
"placeholder": "​",
"style": "IPY_MODEL_b4357ad98d3b4113ae9dab45333b8ee4",
"value": " 2/2 [02:48&lt;00:00, 168.12s/it]"
}
},
"e6e357b71bb8474d82d98ce813aa2183": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a36232c6617141a1b0fdfe0108550ae0": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7563a57897d846f6ba41007b0c92135e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"da65718025e64f83a198f99f8fa48c3b": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"96e509dc48aa456da20260357e60677b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"63f6774afc314b52b1ba82f5335d67a3": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b4357ad98d3b4113ae9dab45333b8ee4": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"b7eddc272b2f4b0db9d910b1fa53bae1": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_c25094678b464bd0b693dcfe333da14f",
"IPY_MODEL_5332bd2cc65145c49a843bc835d51373",
"IPY_MODEL_903d6cf82ea44919a1739b2fbae8f16a"
],
"layout": "IPY_MODEL_5382cb936c2b46d59e1819622ee8ef39"
}
},
"c25094678b464bd0b693dcfe333da14f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_bc3b830bad5c4d78b64406b4f19cc370",
"placeholder": "​",
"style": "IPY_MODEL_09a61bb08189489687754346b906b875",
"value": "Loading weights: 100%"
}
},
"5332bd2cc65145c49a843bc835d51373": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_91bb3728a52042aeb9947caf54dda34e",
"max": 1188,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_1aadf052247c44d8bb0081cd68234fa8",
"value": 1188
}
},
"903d6cf82ea44919a1739b2fbae8f16a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1e5f5a2acd9b47ed972c98ef4428f03d",
"placeholder": "​",
"style": "IPY_MODEL_31cbc371336f456795651381a7e3ad0a",
"value": " 1188/1188 [02:43&lt;00:00, 87.31it/s]"
}
},
"5382cb936c2b46d59e1819622ee8ef39": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"bc3b830bad5c4d78b64406b4f19cc370": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"09a61bb08189489687754346b906b875": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"91bb3728a52042aeb9947caf54dda34e": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1aadf052247c44d8bb0081cd68234fa8": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"1e5f5a2acd9b47ed972c98ef4428f03d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"31cbc371336f456795651381a7e3ad0a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0dbb262cf30643659120f8cdb5b3171c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_abd6e0b4b3f24f1cb818aab793d61477",
"IPY_MODEL_b30a2b86573844d5bf4a6f43e5bd8823",
"IPY_MODEL_6c98eca1409f4e1ba2e7865b2992f51e"
],
"layout": "IPY_MODEL_bceaf428e3fc4bcea2318512a7c6ef4b"
}
},
"abd6e0b4b3f24f1cb818aab793d61477": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5cdef7c8d58c441daaaddb9f34bc1a7d",
"placeholder": "​",
"style": "IPY_MODEL_5c4901ca1dd44ee69bb5bb76b1cb3fb4",
"value": "generation_config.json: 100%"
}
},
"b30a2b86573844d5bf4a6f43e5bd8823": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_25768d586f0f4d5cb9c86d01b13e7fa1",
"max": 208,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_f962bb7a63094308b1ec98cd84c90637",
"value": 208
}
},
"6c98eca1409f4e1ba2e7865b2992f51e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9a305de1de4a4fb797d14e996e802ca0",
"placeholder": "​",
"style": "IPY_MODEL_29a723a6b8b7436faa14620beff25597",
"value": " 208/208 [00:00&lt;00:00, 25.4kB/s]"
}
},
"bceaf428e3fc4bcea2318512a7c6ef4b": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5cdef7c8d58c441daaaddb9f34bc1a7d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5c4901ca1dd44ee69bb5bb76b1cb3fb4": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"25768d586f0f4d5cb9c86d01b13e7fa1": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"f962bb7a63094308b1ec98cd84c90637": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"9a305de1de4a4fb797d14e996e802ca0": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"29a723a6b8b7436faa14620beff25597": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"87fa7a1186c04503994d3ca6781f2fa2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_70dd1d3746a14a5cac5fb65edb8ac231",
"IPY_MODEL_6144783cd98542e3ac0488d1f1c92c35",
"IPY_MODEL_d605282333054e82a1d8507be830f02f"
],
"layout": "IPY_MODEL_dfbb2f74208243238c1dc88dcc4d45e7"
}
},
"70dd1d3746a14a5cac5fb65edb8ac231": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_555c3a2ab47c4cb4b872fd067c15c600",
"placeholder": "​",
"style": "IPY_MODEL_e60657aaf58d4373a3e777352ab720c3",
"value": "processor_config.json: "
}
},
"6144783cd98542e3ac0488d1f1c92c35": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7c9085eed1be41b8b6d61f5eef968825",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_0357ffa5f3224994a2917f7f09affff3",
"value": 1
}
},
"d605282333054e82a1d8507be830f02f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_062b5afb6d9f492aa62fd5547fc6d5eb",
"placeholder": "​",
"style": "IPY_MODEL_6e53b93ebdf045e9b94eedd1bd489b3d",
"value": " 1.69k/? [00:00&lt;00:00, 184kB/s]"
}
},
"dfbb2f74208243238c1dc88dcc4d45e7": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"555c3a2ab47c4cb4b872fd067c15c600": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e60657aaf58d4373a3e777352ab720c3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"7c9085eed1be41b8b6d61f5eef968825": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"0357ffa5f3224994a2917f7f09affff3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"062b5afb6d9f492aa62fd5547fc6d5eb": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6e53b93ebdf045e9b94eedd1bd489b3d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"d2a7e731aa05474299243a698d8f8e76": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_9c8ecc577ca6479aad38d1af6c783685",
"IPY_MODEL_5cd3447374284aa6a9d62e5a72f5ff3c",
"IPY_MODEL_b49a335de14944a5afb36a8ec263c6c8"
],
"layout": "IPY_MODEL_94e9455af5d94b089a5ceb122446b782"
}
},
"9c8ecc577ca6479aad38d1af6c783685": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_3aae33b4c0ef45e597513265bc4b0681",
"placeholder": "​",
"style": "IPY_MODEL_2efb2666390a482b913a30109a7e2472",
"value": "chat_template.jinja: "
}
},
"5cd3447374284aa6a9d62e5a72f5ff3c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0ce0b6f052db48c28f7788e95df7c1f3",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_01917cd89aef4db0aa18675636f4e981",
"value": 1
}
},
"b49a335de14944a5afb36a8ec263c6c8": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_58ee20c84f774dceaa69985bd3c63afa",
"placeholder": "​",
"style": "IPY_MODEL_9d8eb917864e4be1b788f9cfcd64e182",
"value": " 12.0k/? [00:00&lt;00:00, 1.44MB/s]"
}
},
"94e9455af5d94b089a5ceb122446b782": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"3aae33b4c0ef45e597513265bc4b0681": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"2efb2666390a482b913a30109a7e2472": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0ce0b6f052db48c28f7788e95df7c1f3": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"01917cd89aef4db0aa18675636f4e981": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"58ee20c84f774dceaa69985bd3c63afa": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9d8eb917864e4be1b788f9cfcd64e182": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"a955958aff0444a4839aafca8566065c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_867f014d40bd409fa6c845436b050fd3",
"IPY_MODEL_dd08aebf4c9b44b692534426ea948cdb",
"IPY_MODEL_6e0c925129ea45b6bce91769e084e9f3"
],
"layout": "IPY_MODEL_e3a3e391d3114a94985fd3db6cc5ee1a"
}
},
"867f014d40bd409fa6c845436b050fd3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_c224a759bea64ffbbf3b645a59cd79c5",
"placeholder": "​",
"style": "IPY_MODEL_e696b055c6934f1186078767877ff2a2",
"value": "tokenizer_config.json: "
}
},
"dd08aebf4c9b44b692534426ea948cdb": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_319292819e264a19a27685601c70f9b6",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_bb1795785a6a44ec9b17b31b1075cbb3",
"value": 1
}
},
"6e0c925129ea45b6bce91769e084e9f3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5536ee38467e4557bbb1209cb7b4e424",
"placeholder": "​",
"style": "IPY_MODEL_b9c49626bcbb4e8bb6d4a01a08fab4dd",
"value": " 15.0k/? [00:00&lt;00:00, 1.62MB/s]"
}
},
"e3a3e391d3114a94985fd3db6cc5ee1a": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c224a759bea64ffbbf3b645a59cd79c5": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e696b055c6934f1186078767877ff2a2": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"319292819e264a19a27685601c70f9b6": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"bb1795785a6a44ec9b17b31b1075cbb3": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"5536ee38467e4557bbb1209cb7b4e424": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b9c49626bcbb4e8bb6d4a01a08fab4dd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"4cfc78a661dd4837b26a78d7dba376b0": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_ee345697fcfc4468a50627bcff074655",
"IPY_MODEL_3ed7a054b0104bd09132227f1ed413ba",
"IPY_MODEL_59667e10734c42218476077f7741da15"
],
"layout": "IPY_MODEL_e1d2d9a63d3f43dca2a8e097470d2c76"
}
},
"ee345697fcfc4468a50627bcff074655": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a743692b1eae456cad70ecf0d3752493",
"placeholder": "​",
"style": "IPY_MODEL_d6ad093be12e4a3e9b7c75160aeb2fb9",
"value": "tokenizer.json: 100%"
}
},
"3ed7a054b0104bd09132227f1ed413ba": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_746d3b1ccba940e69fc9bf50eb1986c8",
"max": 32169626,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_580577e9f9a5425f9ca10479f42b3d16",
"value": 32169626
}
},
"59667e10734c42218476077f7741da15": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_27b4eafed4584bcda6f88f1fb82f9212",
"placeholder": "​",
"style": "IPY_MODEL_d6caa192c711497b856f18df2f5d9a62",
"value": " 32.2M/32.2M [00:00&lt;00:00, 87.6MB/s]"
}
},
"e1d2d9a63d3f43dca2a8e097470d2c76": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a743692b1eae456cad70ecf0d3752493": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d6ad093be12e4a3e9b7c75160aeb2fb9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"746d3b1ccba940e69fc9bf50eb1986c8": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"580577e9f9a5425f9ca10479f42b3d16": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"27b4eafed4584bcda6f88f1fb82f9212": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d6caa192c711497b856f18df2f5d9a62": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"19f9e04dafa744d0bbafe658a8cd4479": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_f261579b58c94894a6c186255415e54b",
"IPY_MODEL_d36d30757ab34602ab6411c282171802",
"IPY_MODEL_0ac1ef374ce34494a9ade7b68c1fcb7a"
],
"layout": "IPY_MODEL_588e76027ce9499e8e7683f00c8bd999"
}
},
"f261579b58c94894a6c186255415e54b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_23bb3393ad0342aaa993c5109af01cbb",
"placeholder": "​",
"style": "IPY_MODEL_1b9c16155dec43db992c6140ea535912",
"value": "README.md: 100%"
}
},
"d36d30757ab34602ab6411c282171802": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5b938c6422c64286aed0276899c260b3",
"max": 519,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_74fce0116e3b4cf4abde0af7563ebccb",
"value": 519
}
},
"0ac1ef374ce34494a9ade7b68c1fcb7a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a67007d24e9b4a11a35f955db150d486",
"placeholder": "​",
"style": "IPY_MODEL_f91df33daa9348e7abede2d855dc0ecb",
"value": " 519/519 [00:00&lt;00:00, 60.7kB/s]"
}
},
"588e76027ce9499e8e7683f00c8bd999": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"23bb3393ad0342aaa993c5109af01cbb": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1b9c16155dec43db992c6140ea535912": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"5b938c6422c64286aed0276899c260b3": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"74fce0116e3b4cf4abde0af7563ebccb": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"a67007d24e9b4a11a35f955db150d486": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"f91df33daa9348e7abede2d855dc0ecb": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"717b21eed2084ebe9ddcf9a0da8c1c7f": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_1e690555c06540359b89b87c6ae62a9c",
"IPY_MODEL_bddd2d47d2bd40fb9d68be94ebacc0d7",
"IPY_MODEL_b875ef0b812d44cd8e1fd102b597149b"
],
"layout": "IPY_MODEL_91c2f197fcf94b02bbbb780cced6c0de"
}
},
"1e690555c06540359b89b87c6ae62a9c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_8cd8dc2aafd04685b8cb3fb746f08005",
"placeholder": "​",
"style": "IPY_MODEL_f30f8e430cad427d9086bc99f6f146be",
"value": "data/train-00000-of-00001.parquet: 100%"
}
},
"bddd2d47d2bd40fb9d68be94ebacc0d7": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_c048a0b91a5a4bf7803fb3d5ba994acd",
"max": 343805431,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6de4762ccf1a42e6b51f18880b37cd50",
"value": 343805431
}
},
"b875ef0b812d44cd8e1fd102b597149b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_4d0707913c734e899854b548bc3364a7",
"placeholder": "​",
"style": "IPY_MODEL_bd20452eab634993b4a716a1cdd9a4ea",
"value": " 344M/344M [00:02&lt;00:00, 397MB/s]"
}
},
"91c2f197fcf94b02bbbb780cced6c0de": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"8cd8dc2aafd04685b8cb3fb746f08005": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"f30f8e430cad427d9086bc99f6f146be": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"c048a0b91a5a4bf7803fb3d5ba994acd": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"6de4762ccf1a42e6b51f18880b37cd50": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"4d0707913c734e899854b548bc3364a7": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"bd20452eab634993b4a716a1cdd9a4ea": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"ae951bf9259b4054a23534387dc83f8d": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_647e5bcc9d3a4cf4a1e9889cd805c45e",
"IPY_MODEL_a71f8702013a453c894debaa8640a215",
"IPY_MODEL_04ff990ba34c43d99e872fec5f39f0a7"
],
"layout": "IPY_MODEL_1f722501e2894a22b83ed42f482cdec7"
}
},
"647e5bcc9d3a4cf4a1e9889cd805c45e": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_f28bf1e32d7542479fe827a3723089c9",
"placeholder": "​",
"style": "IPY_MODEL_4c298b0109bb4734a876c69ef32e5f6b",
"value": "data/test-00000-of-00001.parquet: 100%"
}
},
"a71f8702013a453c894debaa8640a215": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_51da57c93dd549b6981874d40f26049e",
"max": 38205016,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_282c398a45784093a51432726ec260c5",
"value": 38205016
}
},
"04ff990ba34c43d99e872fec5f39f0a7": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b4d4af7fd215445282451eadc69f9bd5",
"placeholder": "​",
"style": "IPY_MODEL_b9825625d8f54c188698e0a8d5a03e0b",
"value": " 38.2M/38.2M [00:00&lt;00:00, 190MB/s]"
}
},
"1f722501e2894a22b83ed42f482cdec7": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"f28bf1e32d7542479fe827a3723089c9": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"4c298b0109bb4734a876c69ef32e5f6b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"51da57c93dd549b6981874d40f26049e": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"282c398a45784093a51432726ec260c5": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"b4d4af7fd215445282451eadc69f9bd5": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b9825625d8f54c188698e0a8d5a03e0b": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"a469f167acc94d0a93fb8bf94fe5c13a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_4153276526fc459ea16f69f29f82d8dd",
"IPY_MODEL_2006a3d483f24f96b38021cb9a7e3af8",
"IPY_MODEL_77b8d2488e044518add72302d4875797"
],
"layout": "IPY_MODEL_ebb50b363f5d4fd49c35937434858d4d"
}
},
"4153276526fc459ea16f69f29f82d8dd": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_22d14ea43aa6418786ff501f5e1e0cc1",
"placeholder": "​",
"style": "IPY_MODEL_1ca26cff3ae149d88a53bb1e165a299a",
"value": "Generating train split: 100%"
}
},
"2006a3d483f24f96b38021cb9a7e3af8": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_28eec1a723c9433baff472e352125935",
"max": 68686,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_15583a029d5e4a78a60f68c865d064b1",
"value": 68686
}
},
"77b8d2488e044518add72302d4875797": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_784a50c5430743d98d944aaed6c23479",
"placeholder": "​",
"style": "IPY_MODEL_81f8fcd62a8d4077830a3be2ed444cfb",
"value": " 68686/68686 [00:00&lt;00:00, 123273.91 examples/s]"
}
},
"ebb50b363f5d4fd49c35937434858d4d": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"22d14ea43aa6418786ff501f5e1e0cc1": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1ca26cff3ae149d88a53bb1e165a299a": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"28eec1a723c9433baff472e352125935": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"15583a029d5e4a78a60f68c865d064b1": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"784a50c5430743d98d944aaed6c23479": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"81f8fcd62a8d4077830a3be2ed444cfb": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"e4a0c21c1bc341e589cce85b98ce2737": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HBoxModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a14ce85211314a9ba56598ef14968b7c",
"IPY_MODEL_116190e5f17946b88241a2b318522765",
"IPY_MODEL_299a8904e4834fe38d81c804e0669a22"
],
"layout": "IPY_MODEL_0a161c324ea94abf955d4824199d79bf"
}
},
"a14ce85211314a9ba56598ef14968b7c": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_40b91e46da234c6bbef9adb542336f43",
"placeholder": "​",
"style": "IPY_MODEL_3a3ec79b99c8435ea208b9292b0d3bbb",
"value": "Generating test split: 100%"
}
},
"116190e5f17946b88241a2b318522765": {
"model_module": "@jupyter-widgets/controls",
"model_name": "FloatProgressModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9a55c6d9f4284fae92e4c4fd079c7905",
"max": 7632,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_9ef11b00c45d436794e9acad12715ec9",
"value": 7632
}
},
"299a8904e4834fe38d81c804e0669a22": {
"model_module": "@jupyter-widgets/controls",
"model_name": "HTMLModel",
"model_module_version": "1.5.0",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_6d20f7eb80cf4d54a1c34e3d185ee227",
"placeholder": "​",
"style": "IPY_MODEL_aa2ede79b4464737a0d504e403af5791",
"value": " 7632/7632 [00:00&lt;00:00, 135563.13 examples/s]"
}
},
"0a161c324ea94abf955d4824199d79bf": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"40b91e46da234c6bbef9adb542336f43": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"3a3ec79b99c8435ea208b9292b0d3bbb": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"9a55c6d9f4284fae92e4c4fd079c7905": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9ef11b00c45d436794e9acad12715ec9": {
"model_module": "@jupyter-widgets/controls",
"model_name": "ProgressStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"6d20f7eb80cf4d54a1c34e3d185ee227": {
"model_module": "@jupyter-widgets/base",
"model_name": "LayoutModel",
"model_module_version": "1.2.0",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"aa2ede79b4464737a0d504e403af5791": {
"model_module": "@jupyter-widgets/controls",
"model_name": "DescriptionStyleModel",
"model_module_version": "1.5.0",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"state": {}
}
}
},
"nbformat": 4,
"nbformat_minor": 0
}
Reference in New Issue View Git Blame Copy Permalink