una-llama-7b
UNA: Uniform Neural Alignment It increases 6.75% the performance of the pre-trained base LLaMA (1) 7B.
This model is a fine-tuned version of huggyllama/llama-7b:
- Loss: 0.5529
- Rewards/chosen: 0.3633
- Rewards/rejected: -0.1873
- Rewards/accuracies: 0.7230
- Rewards/margins: 0.5506
- Logps/rejected: -217.7784
- Logps/chosen: -235.0354
- Logits/rejected: -0.7752
- Logits/chosen: -0.5259
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Framework versions
- Transformers 4.35.0-UNA
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
huggyllama/llama-7b