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| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
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| # iteration_2 |
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| This model is a fine-tuned version of [/data/group_data/cx_group/MCTS-agent/checkpoints/math_sft_dpo_DI/sft_iteration_2](https://huggingface.co//data/group_data/cx_group/MCTS-agent/checkpoints/math_sft_dpo_DI/sft_iteration_2) on the /data/group_data/cx_group/MCTS-agent/my_datasets/math_sft_dpo_DI/dpo/math_dpo_mix_warmup_1876/iteration_2 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: |
| - learning_rate: 5e-07 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 1 |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.43.3 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 3.0.2 |
| - Tokenizers 0.19.1 |
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