doplhin-dpo

This model is a fine-tuned version of cognitivecomputations/dolphin-2.1-mistral-7b on the None 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-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_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: 0.001

Training results

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.1.0+cu118
• Datasets 2.16.1
• Tokenizers 0.15.2