metadata
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: NorLLM-AI/NorMistral-7B
model-index:
- name: norllm-ai-normistral-7b-align-scan
results: []
norllm-ai-normistral-7b-align-scan
This model is a fine-tuned version of NorLLM-AI/NorMistral-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9279
- Rewards/chosen: -0.0837
- Rewards/rejected: -0.1567
- Rewards/accuracies: 0.6125
- Rewards/margins: 0.0730
- Logps/rejected: -35.4817
- Logps/chosen: -31.7010
- Logits/rejected: -2.8247
- Logits/chosen: -2.8267
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.9239 | 0.26 | 100 | 0.9661 | -0.0010 | -0.0351 | 0.6013 | 0.0342 | -34.8738 | -31.2872 | -2.8027 | -2.8055 |
| 0.8146 | 0.52 | 200 | 0.9363 | -0.0747 | -0.1389 | 0.6184 | 0.0641 | -35.3925 | -31.6561 | -2.8206 | -2.8233 |
| 0.7173 | 0.78 | 300 | 0.9279 | -0.0837 | -0.1567 | 0.6125 | 0.0730 | -35.4817 | -31.7010 | -2.8247 | -2.8267 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1