Image-Text-to-Text
Transformers
Safetensors
qwen3_vl
qwen3-vl
video-language-model
egocentric-video
ms-swift
sft
conversational
Instructions to use egotools-dev/egotools-8b-v3_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egotools-dev/egotools-8b-v3_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="egotools-dev/egotools-8b-v3_3") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("egotools-dev/egotools-8b-v3_3") model = AutoModelForMultimodalLM.from_pretrained("egotools-dev/egotools-8b-v3_3", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use egotools-dev/egotools-8b-v3_3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "egotools-dev/egotools-8b-v3_3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "egotools-dev/egotools-8b-v3_3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/egotools-dev/egotools-8b-v3_3
- SGLang
How to use egotools-dev/egotools-8b-v3_3 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "egotools-dev/egotools-8b-v3_3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "egotools-dev/egotools-8b-v3_3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "egotools-dev/egotools-8b-v3_3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "egotools-dev/egotools-8b-v3_3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use egotools-dev/egotools-8b-v3_3 with Docker Model Runner:
docker model run hf.co/egotools-dev/egotools-8b-v3_3
Add files using upload-large-folder tool
Browse files- README.md +14 -28
- checkpoint-600/README.md +126 -0
- checkpoint-600/added_tokens.json +28 -0
- checkpoint-600/args.json +409 -0
- checkpoint-600/chat_template.jinja +120 -0
- checkpoint-600/config.json +68 -0
- checkpoint-600/generation_config.json +13 -0
- checkpoint-600/merges.txt +0 -0
- checkpoint-600/model-00001-of-00004.safetensors +3 -0
- checkpoint-600/model-00002-of-00004.safetensors +3 -0
- checkpoint-600/model-00003-of-00004.safetensors +3 -0
- checkpoint-600/model-00004-of-00004.safetensors +3 -0
- checkpoint-600/model.safetensors.index.json +758 -0
- checkpoint-600/preprocessor_config.json +21 -0
- checkpoint-600/special_tokens_map.json +31 -0
- checkpoint-600/tokenizer.json +3 -0
- checkpoint-600/tokenizer_config.json +240 -0
- checkpoint-600/trainer_state.json +1002 -0
- checkpoint-600/training_args.bin +3 -0
- checkpoint-600/video_preprocessor_config.json +41 -0
- checkpoint-600/vocab.json +0 -0
README.md
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- sft
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---
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# EgoTools 8B v3.3
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The
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## Training Setup
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| Field | Value |
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|---|---:|
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| Base model | `Qwen/Qwen3-VL-8B-Instruct` |
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| Local base snapshot | `models--Qwen--Qwen3-VL-8B-Instruct/snapshots/0c351dd01ed87e9c1b53cbc748cba10e6187ff3b` |
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| Framework | `ms-swift` / Transformers |
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| Tuning type | Full-parameter SFT |
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| Trainable params | 8.19B / 8.77B, VLM LLM trainable; ViT and aligner frozen |
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| Effective batch size | 128 samples |
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| Epochs | 1 |
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| Max steps | 907 |
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| Saved step | 300 |
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| Learning rate | `2.3e-6` |
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| LR scheduler | `constant` |
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| Warmup | 0 |
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| Image token budget | 1024 |
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| Save interval | every 300 steps |
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Important note: this run used a constant `2.3e-6` LR. Earlier V2 exploratory runs used `5e-6` with cosine decay and 3% warmup;
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## Training Data
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`data_v3_3/egotools_v3_3_sft_final_clips.swift.jsonl`
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Video references point to local clips under:
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`data_v3_3/video_clips`
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### Overall Mix
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| Family | Rows | Ratio |
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## Checkpoint Metrics
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| Global step | 300 / 907 |
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| Epoch | 0.3309 |
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| Recent logged loss at step 300 | 0.8521 |
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| Token accuracy at step 300 | 0.7638 |
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| Learning rate | 2.3e-6 |
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| Reported memory | 38.56 GiB |
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| Average training speed | 127.60 s/iter |
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No evaluation set was run for this checkpoint.
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## Intended Use
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- sft
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---
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# EgoTools 8B v3.3
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This repository stores intermediate checkpoints from full-parameter SFT of `Qwen/Qwen3-VL-8B-Instruct` on EgoTools v3.3.
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Available checkpoints:
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| Checkpoint | Location | Step | Epoch | Notes |
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| checkpoint-300 | repository root | 300 / 907 | 0.3309 | First uploaded intermediate checkpoint. |
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| checkpoint-600 | `checkpoint-600/` | 600 / 907 | 0.6619 | Second uploaded intermediate checkpoint. |
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The repository root currently contains the `checkpoint-300` model files. `checkpoint-600` is stored in the `checkpoint-600/` subdirectory.
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## Training Setup
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| Field | Value |
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|---|---:|
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| Base model | `Qwen/Qwen3-VL-8B-Instruct` |
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| Framework | `ms-swift` / Transformers |
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| Tuning type | Full-parameter SFT |
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| Trainable params | 8.19B / 8.77B, VLM LLM trainable; ViT and aligner frozen |
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| Effective batch size | 128 samples |
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| Epochs | 1 |
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| Max steps | 907 |
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| Learning rate | `2.3e-6` |
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| LR scheduler | `constant` |
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| Warmup | 0 |
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| Image token budget | 1024 |
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| Save interval | every 300 steps |
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Important note: this run used a constant `2.3e-6` LR. Earlier V2 exploratory runs used `5e-6` with cosine decay and 3% warmup; these v3.3 checkpoints do not use that schedule.
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## Training Data
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`data_v3_3/egotools_v3_3_sft_final_clips.swift.jsonl`
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### Overall Mix
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| Family | Rows | Ratio |
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## Checkpoint Metrics
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| Checkpoint | Loss | Token accuracy | LR |
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|---|---:|---:|---:|
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| checkpoint-300 | 0.8521 | 0.7638 | 2.3e-6 |
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| checkpoint-600 | 0.8500 | 0.7705 | 2.3e-6 |
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No evaluation set was run for these intermediate checkpoints.
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checkpoint-600/README.md
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---
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base_model: Qwen/Qwen3-VL-8B-Instruct
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library_name: transformers
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pipeline_tag: image-text-to-text
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tags:
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- qwen3-vl
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- video-language-model
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- egocentric-video
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- ms-swift
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- sft
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---
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# EgoTools 8B v3.3 - Checkpoint 600
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Intermediate checkpoint from full-parameter SFT of `Qwen/Qwen3-VL-8B-Instruct` on EgoTools v3.3.
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This is `checkpoint-600` from the run:
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`egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414`
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The run was still in progress when this checkpoint was exported. Treat this as an intermediate model, not the final checkpoint.
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## Training Setup
|
| 24 |
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| Field | Value |
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| 26 |
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|---|---:|
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| 27 |
+
| Base model | `Qwen/Qwen3-VL-8B-Instruct` |
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| 28 |
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| Local base snapshot | `models--Qwen--Qwen3-VL-8B-Instruct/snapshots/0c351dd01ed87e9c1b53cbc748cba10e6187ff3b` |
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| 29 |
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| Framework | `ms-swift` / Transformers |
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| Tuning type | Full-parameter SFT |
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| 31 |
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| Trainable params | 8.19B / 8.77B, VLM LLM trainable; ViT and aligner frozen |
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| GPUs | 8 x NVIDIA A100-SXM4-40GB |
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| Precision | BF16 |
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| DeepSpeed | ZeRO-3, no optimizer/parameter offload |
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| Attention | FlashAttention |
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| Per-device batch size | 2 |
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| Gradient accumulation | 8 |
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| Effective batch size | 128 samples |
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| Epochs | 1 |
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| 40 |
+
| Max steps | 907 |
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| 41 |
+
| Saved step | 600 |
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| 42 |
+
| Learning rate | `2.3e-6` |
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| 43 |
+
| LR scheduler | `constant` |
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| 44 |
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| Warmup | 0 |
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| 45 |
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| Weight decay | 0.1 |
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| Max sequence length | 8192 |
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| Video frame sampling | up to 64 frames |
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| Video token budget | 128 |
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| Image token budget | 1024 |
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| 50 |
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| Save interval | every 300 steps |
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+
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+
Important note: this run used a constant `2.3e-6` LR. Earlier V2 exploratory runs used `5e-6` with cosine decay and 3% warmup; this checkpoint does not use that schedule.
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+
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## Training Data
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| 55 |
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Dataset: EgoTools v3.3 SFT, converted to ms-swift video-clip format.
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Main local training file:
|
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`data_v3_3/egotools_v3_3_sft_final_clips.swift.jsonl`
|
| 61 |
+
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Video references point to local clips under:
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| 64 |
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`data_v3_3/video_clips`
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| 65 |
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### Overall Mix
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| 67 |
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| Family | Rows | Ratio |
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|---|---:|---:|
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| Multiple-choice QA | 104,613 | 90.16% |
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| Caption / narration completion | 9,473 | 8.16% |
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| Open-ended QA | 1,945 | 1.68% |
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| Total | 116,031 | 100.00% |
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### Sample Type Mix
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| Sample type | Rows | Ratio |
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|---|---:|---:|
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| `mcq` | 63,276 | 54.53% |
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| `narration_mcq` | 17,591 | 15.16% |
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| `egoschema_caption_mcq` | 11,830 | 10.20% |
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| `egoplan_next_action_mcq` | 7,990 | 6.89% |
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| `caption_completion` | 7,532 | 6.49% |
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| `egoschema_fused_mcq` | 3,926 | 3.38% |
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| `egothink_open_qa` | 1,945 | 1.68% |
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| `narration_completion` | 1,941 | 1.67% |
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### Option / Answer Balance
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The MCQ portion was deterministically balanced by option count.
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| Option count | Answer distribution |
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|---:|---|
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| 4 options | A: 1,998; B: 1,997; C: 1,998; D: 1,997 |
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| 5 options | A: 6,669; B: 6,669; C: 6,670; D: 6,669; E: 6,670 |
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| 8 options | A: 7,910; B: 7,909; C: 7,910; D: 7,910; E: 7,909; F: 7,910; G: 7,909; H: 7,909 |
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### Video Coverage
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| Field | Value |
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|---|---:|
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| Unique video references | 362 |
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| Unique generated clips | 13,100 |
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| Missing video rows | 0 |
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| Full train-video references | 92,572 |
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| Train-segment clip references | 23,459 |
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## Checkpoint Metrics
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At `checkpoint-600`:
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| Metric | Value |
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|---|---:|
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| Global step | 600 / 907 |
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| Epoch | 0.6619 |
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| Recent logged loss at step 600 | 0.8500 |
|
| 117 |
+
| Token accuracy at step 600 | 0.7705 |
|
| 118 |
+
| Learning rate | 2.3e-6 |
|
| 119 |
+
| Reported memory | 38.56 GiB |
|
| 120 |
+
| Average training speed | ~127.5 s/iter |
|
| 121 |
+
|
| 122 |
+
No evaluation set was run for this checkpoint.
|
| 123 |
+
|
| 124 |
+
## Intended Use
|
| 125 |
+
|
| 126 |
+
This checkpoint is intended for internal EgoTools experiments and checkpoint-level comparison. It is not a final released model.
|
checkpoint-600/added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
checkpoint-600/args.json
ADDED
|
@@ -0,0 +1,409 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414",
|
| 3 |
+
"overwrite_output_dir": false,
|
| 4 |
+
"do_train": false,
|
| 5 |
+
"do_eval": false,
|
| 6 |
+
"do_predict": false,
|
| 7 |
+
"eval_strategy": "no",
|
| 8 |
+
"prediction_loss_only": false,
|
| 9 |
+
"per_device_train_batch_size": 2,
|
| 10 |
+
"per_device_eval_batch_size": 1,
|
| 11 |
+
"per_gpu_train_batch_size": null,
|
| 12 |
+
"per_gpu_eval_batch_size": null,
|
| 13 |
+
"gradient_accumulation_steps": 8,
|
| 14 |
+
"eval_accumulation_steps": null,
|
| 15 |
+
"eval_delay": 0,
|
| 16 |
+
"torch_empty_cache_steps": null,
|
| 17 |
+
"learning_rate": 2.3e-06,
|
| 18 |
+
"weight_decay": 0.1,
|
| 19 |
+
"adam_beta1": 0.9,
|
| 20 |
+
"adam_beta2": 0.95,
|
| 21 |
+
"adam_epsilon": 1e-08,
|
| 22 |
+
"max_grad_norm": 1.0,
|
| 23 |
+
"num_train_epochs": 1.0,
|
| 24 |
+
"max_steps": -1,
|
| 25 |
+
"lr_scheduler_type": "constant",
|
| 26 |
+
"lr_scheduler_kwargs": null,
|
| 27 |
+
"warmup_ratio": 0.0,
|
| 28 |
+
"warmup_steps": 0,
|
| 29 |
+
"log_level": "passive",
|
| 30 |
+
"log_level_replica": "warning",
|
| 31 |
+
"log_on_each_node": true,
|
| 32 |
+
"logging_dir": "/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414/runs",
|
| 33 |
+
"logging_strategy": "steps",
|
| 34 |
+
"logging_first_step": true,
|
| 35 |
+
"logging_steps": 5,
|
| 36 |
+
"logging_nan_inf_filter": true,
|
| 37 |
+
"save_strategy": "steps",
|
| 38 |
+
"save_steps": 300.0,
|
| 39 |
+
"save_total_limit": 4,
|
| 40 |
+
"save_safetensors": true,
|
| 41 |
+
"save_on_each_node": false,
|
| 42 |
+
"save_only_model": true,
|
| 43 |
+
"restore_callback_states_from_checkpoint": false,
|
| 44 |
+
"no_cuda": false,
|
| 45 |
+
"use_cpu": false,
|
| 46 |
+
"use_mps_device": false,
|
| 47 |
+
"seed": 42,
|
| 48 |
+
"data_seed": 42,
|
| 49 |
+
"jit_mode_eval": false,
|
| 50 |
+
"bf16": true,
|
| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
|
| 53 |
+
"half_precision_backend": "auto",
|
| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
|
| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
|
| 58 |
+
"ddp_backend": null,
|
| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": null,
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 300.0,
|
| 64 |
+
"dataloader_num_workers": 8,
|
| 65 |
+
"dataloader_prefetch_factor": null,
|
| 66 |
+
"past_index": -1,
|
| 67 |
+
"run_name": "/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414",
|
| 68 |
+
"disable_tqdm": null,
|
| 69 |
+
"remove_unused_columns": true,
|
| 70 |
+
"label_names": null,
|
| 71 |
+
"load_best_model_at_end": false,
|
| 72 |
+
"metric_for_best_model": "loss",
|
| 73 |
+
"greater_is_better": false,
|
| 74 |
+
"ignore_data_skip": false,
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": null,
|
| 78 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 79 |
+
"accelerator_config": {
|
| 80 |
+
"dispatch_batches": false
|
| 81 |
+
},
|
| 82 |
+
"parallelism_config": null,
|
| 83 |
+
"deepspeed": {
|
| 84 |
+
"fp16": {
|
| 85 |
+
"enabled": "auto",
|
| 86 |
+
"loss_scale": 0,
|
| 87 |
+
"loss_scale_window": 1000,
|
| 88 |
+
"initial_scale_power": 16,
|
| 89 |
+
"hysteresis": 2,
|
| 90 |
+
"min_loss_scale": 1
|
| 91 |
+
},
|
| 92 |
+
"bf16": {
|
| 93 |
+
"enabled": "auto"
|
| 94 |
+
},
|
| 95 |
+
"zero_optimization": {
|
| 96 |
+
"stage": 3,
|
| 97 |
+
"offload_optimizer": {
|
| 98 |
+
"device": "none",
|
| 99 |
+
"pin_memory": true
|
| 100 |
+
},
|
| 101 |
+
"offload_param": {
|
| 102 |
+
"device": "none",
|
| 103 |
+
"pin_memory": true
|
| 104 |
+
},
|
| 105 |
+
"overlap_comm": false,
|
| 106 |
+
"contiguous_gradients": true,
|
| 107 |
+
"sub_group_size": 1000000000.0,
|
| 108 |
+
"reduce_bucket_size": "auto",
|
| 109 |
+
"zero_quantized_weights": false,
|
| 110 |
+
"zero_quantized_gradients": false,
|
| 111 |
+
"stage3_prefetch_bucket_size": "auto",
|
| 112 |
+
"stage3_param_persistence_threshold": "auto",
|
| 113 |
+
"stage3_max_live_parameters": 1000000000.0,
|
| 114 |
+
"stage3_max_reuse_distance": 1000000000.0,
|
| 115 |
+
"stage3_gather_16bit_weights_on_model_save": true
|
| 116 |
+
},
|
| 117 |
+
"gradient_accumulation_steps": "auto",
|
| 118 |
+
"gradient_clipping": "auto",
|
| 119 |
+
"steps_per_print": 2000,
|
| 120 |
+
"train_batch_size": "auto",
|
| 121 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 122 |
+
"wall_clock_breakdown": false
|
| 123 |
+
},
|
| 124 |
+
"label_smoothing_factor": 0.0,
|
| 125 |
+
"optim": "adamw_torch",
|
| 126 |
+
"optim_args": null,
|
| 127 |
+
"adafactor": false,
|
| 128 |
+
"group_by_length": false,
|
| 129 |
+
"length_column_name": "length",
|
| 130 |
+
"report_to": [
|
| 131 |
+
"tensorboard"
|
| 132 |
+
],
|
| 133 |
+
"project": "huggingface",
|
| 134 |
+
"trackio_space_id": "trackio",
|
| 135 |
+
"ddp_find_unused_parameters": null,
|
| 136 |
+
"ddp_bucket_cap_mb": null,
|
| 137 |
+
"ddp_broadcast_buffers": null,
|
| 138 |
+
"dataloader_pin_memory": true,
|
| 139 |
+
"dataloader_persistent_workers": false,
|
| 140 |
+
"skip_memory_metrics": true,
|
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| 408 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=<IntervalStrategy.NO: 'no'>, prediction_loss_only=False, per_device_train_batch_size=2, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=8, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=2.3e-06, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.CONSTANT: 'constant'>, lr_scheduler_kwargs=None, warmup_ratio=0.0, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=300, save_total_limit=4, save_safetensors=True, save_on_each_node=False, save_only_model=True, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=300.0, dataloader_num_workers=8, dataloader_prefetch_factor=2, past_index=-1, run_name='/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 'auto', 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], project='huggingface', trackio_space_id='trackio', ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=None, hub_always_push=False, hub_revision=None, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=18000000, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, include_tokens_per_second=None, include_num_input_tokens_seen=None, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=None, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type=None, eval_metric=None, callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='full', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 409 |
+
}
|
checkpoint-600/chat_template.jinja
ADDED
|
@@ -0,0 +1,120 @@
|
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|
|
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|
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|
|
|
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|
|
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|
|
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|
|
|
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|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{%- if messages[0].content is string %}
|
| 5 |
+
{{- messages[0].content }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{%- for content in messages[0].content %}
|
| 8 |
+
{%- if 'text' in content %}
|
| 9 |
+
{{- content.text }}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- endfor %}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{{- '\n\n' }}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 16 |
+
{%- for tool in tools %}
|
| 17 |
+
{{- "\n" }}
|
| 18 |
+
{{- tool | tojson }}
|
| 19 |
+
{%- endfor %}
|
| 20 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{%- if messages[0].role == 'system' %}
|
| 23 |
+
{{- '<|im_start|>system\n' }}
|
| 24 |
+
{%- if messages[0].content is string %}
|
| 25 |
+
{{- messages[0].content }}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- for content in messages[0].content %}
|
| 28 |
+
{%- if 'text' in content %}
|
| 29 |
+
{{- content.text }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endfor %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|im_end|>\n' }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endif %}
|
| 36 |
+
{%- set image_count = namespace(value=0) %}
|
| 37 |
+
{%- set video_count = namespace(value=0) %}
|
| 38 |
+
{%- for message in messages %}
|
| 39 |
+
{%- if message.role == "user" %}
|
| 40 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 41 |
+
{%- if message.content is string %}
|
| 42 |
+
{{- message.content }}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 46 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 48 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
+
{%- if message.content is string %}
|
| 62 |
+
{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
+
{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
|
checkpoint-600/config.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 151645,
|
| 7 |
+
"hidden_size": 4096,
|
| 8 |
+
"image_token_id": 151655,
|
| 9 |
+
"model_type": "qwen3_vl",
|
| 10 |
+
"pad_token_id": 151643,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"bos_token_id": 151643,
|
| 15 |
+
"dtype": "bfloat16",
|
| 16 |
+
"eos_token_id": 151645,
|
| 17 |
+
"head_dim": 128,
|
| 18 |
+
"hidden_act": "silu",
|
| 19 |
+
"hidden_size": 4096,
|
| 20 |
+
"initializer_range": 0.02,
|
| 21 |
+
"intermediate_size": 12288,
|
| 22 |
+
"max_position_embeddings": 262144,
|
| 23 |
+
"model_type": "qwen3_vl_text",
|
| 24 |
+
"num_attention_heads": 32,
|
| 25 |
+
"num_hidden_layers": 36,
|
| 26 |
+
"num_key_value_heads": 8,
|
| 27 |
+
"pad_token_id": 151643,
|
| 28 |
+
"rms_norm_eps": 1e-06,
|
| 29 |
+
"rope_scaling": {
|
| 30 |
+
"mrope_interleaved": true,
|
| 31 |
+
"mrope_section": [
|
| 32 |
+
24,
|
| 33 |
+
20,
|
| 34 |
+
20
|
| 35 |
+
],
|
| 36 |
+
"rope_type": "default"
|
| 37 |
+
},
|
| 38 |
+
"rope_theta": 5000000,
|
| 39 |
+
"use_cache": false,
|
| 40 |
+
"vocab_size": 151936
|
| 41 |
+
},
|
| 42 |
+
"tie_word_embeddings": false,
|
| 43 |
+
"transformers_version": "4.57.6",
|
| 44 |
+
"video_token_id": 151656,
|
| 45 |
+
"vision_config": {
|
| 46 |
+
"deepstack_visual_indexes": [
|
| 47 |
+
8,
|
| 48 |
+
16,
|
| 49 |
+
24
|
| 50 |
+
],
|
| 51 |
+
"depth": 27,
|
| 52 |
+
"dtype": "bfloat16",
|
| 53 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 54 |
+
"hidden_size": 1152,
|
| 55 |
+
"in_channels": 3,
|
| 56 |
+
"initializer_range": 0.02,
|
| 57 |
+
"intermediate_size": 4304,
|
| 58 |
+
"model_type": "qwen3_vl",
|
| 59 |
+
"num_heads": 16,
|
| 60 |
+
"num_position_embeddings": 2304,
|
| 61 |
+
"out_hidden_size": 4096,
|
| 62 |
+
"patch_size": 16,
|
| 63 |
+
"spatial_merge_size": 2,
|
| 64 |
+
"temporal_patch_size": 2
|
| 65 |
+
},
|
| 66 |
+
"vision_end_token_id": 151653,
|
| 67 |
+
"vision_start_token_id": 151652
|
| 68 |
+
}
|
checkpoint-600/generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.8,
|
| 12 |
+
"transformers_version": "4.57.6"
|
| 13 |
+
}
|
checkpoint-600/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-600/model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:573c542ec159e8fcee028a2d842c3ed622036a2b880b4a85672d65e53108d639
|
| 3 |
+
size 4998056552
|
checkpoint-600/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
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|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:1b08454374b70cf7bf1279e6d0a42c0c4d282713f341ce62fd3b15516a615689
|
| 3 |
+
size 4915962464
|
checkpoint-600/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:9b3e3a9381ebea7977c8c73673ab7f483cfa77f1c1039ce04bd17bf910e49d0e
|
| 3 |
+
size 4915962496
|
checkpoint-600/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:dcd31dfdc27a049b2fae3319912b5b75a97bd81f316bfa82c75e561f923ae0be
|
| 3 |
+
size 2704357976
|
checkpoint-600/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,758 @@
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|
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checkpoint-600/preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
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|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
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"shortest_edge": 65536
|
| 5 |
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},
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| 6 |
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"patch_size": 16,
|
| 7 |
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"temporal_patch_size": 2,
|
| 8 |
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"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
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0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
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],
|
| 14 |
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"image_std": [
|
| 15 |
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0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
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],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
checkpoint-600/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
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"<|im_end|>",
|
| 5 |
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"<|object_ref_start|>",
|
| 6 |
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"<|object_ref_end|>",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"<|vision_start|>",
|
| 12 |
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"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
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"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
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],
|
| 17 |
+
"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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"lstrip": false,
|
| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
|
| 22 |
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|
| 23 |
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|
| 24 |
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"pad_token": {
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
+
"single_word": false
|
| 30 |
+
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|
| 31 |
+
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|
checkpoint-600/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
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|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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| 3 |
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size 11422654
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checkpoint-600/tokenizer_config.json
ADDED
|
@@ -0,0 +1,240 @@
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|
| 1 |
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|
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|
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|
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|
| 9 |
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|
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|
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|
| 12 |
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|
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
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|
| 28 |
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|
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|
| 36 |
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| 57 |
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"rstrip": false,
|
| 58 |
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"single_word": false,
|
| 59 |
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"special": true
|
| 60 |
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},
|
| 61 |
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"151650": {
|
| 62 |
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"content": "<|quad_start|>",
|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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"special": true
|
| 68 |
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|
| 69 |
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"151651": {
|
| 70 |
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"content": "<|quad_end|>",
|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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"special": true
|
| 76 |
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|
| 77 |
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"151652": {
|
| 78 |
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"content": "<|vision_start|>",
|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"151653": {
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"151654": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"151655": {
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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"151656": {
|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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"151657": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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"151658": {
|
| 126 |
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|
| 127 |
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"lstrip": false,
|
| 128 |
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"normalized": false,
|
| 129 |
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"rstrip": false,
|
| 130 |
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"single_word": false,
|
| 131 |
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"special": false
|
| 132 |
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|
| 133 |
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"151659": {
|
| 134 |
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"content": "<|fim_prefix|>",
|
| 135 |
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"lstrip": false,
|
| 136 |
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"normalized": false,
|
| 137 |
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"rstrip": false,
|
| 138 |
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"single_word": false,
|
| 139 |
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"special": false
|
| 140 |
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|
| 141 |
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"151660": {
|
| 142 |
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"content": "<|fim_middle|>",
|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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"single_word": false,
|
| 147 |
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|
| 148 |
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|
| 149 |
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"151661": {
|
| 150 |
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"content": "<|fim_suffix|>",
|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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"151662": {
|
| 158 |
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"content": "<|fim_pad|>",
|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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"content": "<|repo_name|>",
|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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"151664": {
|
| 174 |
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"content": "<|file_sep|>",
|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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"special": false
|
| 180 |
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},
|
| 181 |
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"151665": {
|
| 182 |
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"content": "<tool_response>",
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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"special": false
|
| 188 |
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},
|
| 189 |
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"151666": {
|
| 190 |
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"content": "</tool_response>",
|
| 191 |
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"lstrip": false,
|
| 192 |
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"normalized": false,
|
| 193 |
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"rstrip": false,
|
| 194 |
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"single_word": false,
|
| 195 |
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"special": false
|
| 196 |
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},
|
| 197 |
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"151667": {
|
| 198 |
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"content": "<think>",
|
| 199 |
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"lstrip": false,
|
| 200 |
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"normalized": false,
|
| 201 |
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"rstrip": false,
|
| 202 |
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"single_word": false,
|
| 203 |
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"special": false
|
| 204 |
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},
|
| 205 |
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"151668": {
|
| 206 |
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"content": "</think>",
|
| 207 |
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"lstrip": false,
|
| 208 |
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"normalized": false,
|
| 209 |
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"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
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"special": false
|
| 212 |
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}
|
| 213 |
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},
|
| 214 |
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"additional_special_tokens": [
|
| 215 |
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"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
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"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
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"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
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"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
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"clean_up_tokenization_spaces": false,
|
| 231 |
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"eos_token": "<|im_end|>",
|
| 232 |
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"errors": "replace",
|
| 233 |
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"extra_special_tokens": {},
|
| 234 |
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"model_max_length": 262144,
|
| 235 |
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"pad_token": "<|endoftext|>",
|
| 236 |
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"processor_class": "Qwen3VLProcessor",
|
| 237 |
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"split_special_tokens": false,
|
| 238 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
+
"unk_token": null
|
| 240 |
+
}
|
checkpoint-600/trainer_state.json
ADDED
|
@@ -0,0 +1,1002 @@
|
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checkpoint-600/video_preprocessor_config.json
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checkpoint-600/vocab.json
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