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dpo_iteration_1_mix_warmup_4963
This model is a fine-tuned version of /data/user_data/shutingw/wentaos/Optima/checkpoints/trival_qa_sft_dpo_DI/sft_iteration_1 on the /data/user_data/shutingw/wentaos/Optima/my_datasets/trival_qa_sft_dpo_DI/dpo/trival_qa_dpo_mix_warmup_4963/iteration_1 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
- Datasets 3.2.0
- Tokenizers 0.19.1
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