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: 0.4705
- Rewards/chosen: 0.0616
- Rewards/rejected: 0.0107
- Rewards/accuracies: 0.5370
- Rewards/margins: 0.0508
- Logps/rejected: -34.6847
- Logps/chosen: -31.2055
- Logits/rejected: -2.8071
- Logits/chosen: -2.8098
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0237 | 0.26 | 100 | 0.4815 | 0.0235 | -0.0157 | 0.5486 | 0.0392 | -34.7178 | -31.2531 | -2.8136 | -2.8161 |
| 2.9692 | 0.52 | 200 | 0.4973 | 0.0315 | -0.0118 | 0.5631 | 0.0433 | -34.7129 | -31.2431 | -2.8099 | -2.8121 |
| 0.9535 | 0.78 | 300 | 0.4705 | 0.0616 | 0.0107 | 0.5370 | 0.0508 | -34.6847 | -31.2055 | -2.8071 | -2.8098 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1