sablo-pebble-mistral-dpo-lora-oasst2_dpo_pairs_en

This model is a fine-tuned version of sablo/sablo-pebble-mistral on the sablo/oasst2_dpo_pairs_en dataset. It achieves the following results on the evaluation set:

• Loss: 0.6714
• Rewards/chosen: 0.1838
• Rewards/rejected: 0.0314
• Rewards/accuracies: 0.6875
• Rewards/margins: 0.1524
• Logps/rejected: -267.5412
• Logps/chosen: -312.9823
• Logits/rejected: -2.2363
• Logits/chosen: -2.2654

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-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• total_eval_batch_size: 64
• 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

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.2+cu118
• Datasets 2.14.6
• Tokenizers 0.15.1