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results: []
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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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# Qwen2-VL_7b_full_cot_sft_90k_singlewocot_taskdescriptor_level9
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This model is a fine-tuned version of [Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen2-VL-7B-Instruct) on the cot_sft_90k_singlewocot_taskdescriptor_level9 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 3
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- total_train_batch_size: 24
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- total_eval_batch_size: 64
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- optimizer: Use 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: 0.015
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.49.0
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model-index:
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- name: UniVG-R1-stage1
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results: []
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### Framework versions
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- Transformers 4.49.0
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