gemma-7b-borpo-low-quality

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gemma-7b-borpo-low-quality

This model is a fine-tuned version of google/gemma-7b on the silviasapora/low_quality_dpo7k dataset. It achieves the following results on the evaluation set:

• Loss: 1.5380
• Rewards/chosen: -0.0547
• Rewards/rejected: -0.0625
• Rewards/accuracies: 0.5468
• Rewards/margins: 0.0079
• Logps/rejected: -1.2508
• Logps/chosen: -1.0933
• Logits/rejected: 267.2346
• Logits/chosen: 296.6808
• Nll Loss: 1.4703
• Log Odds Ratio: -0.7039
• Log Odds Chosen: 0.2721

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: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: inverse_sqrt
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1