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
- Downloads last month
- 25
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for fblgit/una-llama-7b
Base model
huggyllama/llama-7b