mistral-7b-bfloat16-dpo-full

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mistral-7b-bfloat16-dpo-full

This model is a fine-tuned version of ghimiresunil/mistral-7b-bfloat16-trainer-full on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000
• Rewards/chosen: 0.1753
• Rewards/rejected: -13.6755
• Rewards/accuracies: 1.0
• Rewards/margins: 13.8507
• Logps/rejected: -283.8056
• Logps/chosen: -297.8054
• Logits/rejected: -2.4650
• Logits/chosen: -2.7869

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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 7
• total_train_batch_size: 28
• total_eval_batch_size: 28
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.1+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1