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iteration_2
This model is a fine-tuned version of /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.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
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
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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