falcon-7b-dpo-lora

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falcon-7b-dpo-lora

This model is a fine-tuned version of tiiuae/falcon-7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6909
• Rewards/chosen: 0.0159
• Rewards/rejected: 0.0096
• Rewards/accuracies: 0.3175
• Rewards/margins: 0.0063
• Logps/rejected: -88.4353
• Logps/chosen: -109.9771
• Logits/rejected: -14.9384
• Logits/chosen: -14.8499

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: 2
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 32
• total_train_batch_size: 512
• total_eval_batch_size: 32
• 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 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1