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Vision-R1-CI-7B

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Initial commit: Upload Vision-R1-CI-7B model

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  1. .gitattributes +36 -0
  2. README.md +60 -0
  3. added_tokens.json +3 -0
  4. all_results.json +3 -0
  5. chat_template.json +3 -0
  6. config.json +3 -0
  7. generation_config.json +3 -0
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  19. trainer_log.jsonl +0 -0
  20. trainer_state.json +3 -0
  21. training_args.bin +3 -0
  22. vocab.json +3 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: /mnt/ali-sh-1/usr/zhaizijie/huangwx_ali_shanghai/pretrain_llm/Qwen2.5-VL-7B-Instruct
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: Qwen2.5-VL-7B-Instruct_sft_epoch2_lr5e6_warm005_32GPU_no_system
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Qwen2.5-VL-7B-Instruct_sft_epoch2_lr5e6_warm005_32GPU_no_system
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+
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+ This model is a fine-tuned version of [/mnt/ali-sh-1/usr/zhaizijie/huangwx_ali_shanghai/pretrain_llm/Qwen2.5-VL-7B-Instruct](https://huggingface.co//mnt/ali-sh-1/usr/zhaizijie/huangwx_ali_shanghai/pretrain_llm/Qwen2.5-VL-7B-Instruct) on the llava_r1_llava_cot_full_no_system and the llava_r1_mulberry_sft_full_no_system datasets.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 32
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0.dev0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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