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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# norllm-ai-normistral-7b-align-scan
This model is a fine-tuned version of [NorLLM-AI/NorMistral-7B](https://huggingface.co/NorLLM-AI/NorMistral-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9012
- Rewards/chosen: -0.0642
- Rewards/rejected: -0.1770
- Rewards/accuracies: 0.5656
- Rewards/margins: 0.1128
- Logps/rejected: -34.9511
- Logps/chosen: -31.3742
- Logits/rejected: -2.8184
- Logits/chosen: -2.8208
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.8179 | 0.26 | 100 | 0.8995 | -0.0056 | -0.1202 | 0.6100 | 0.1146 | -34.8698 | -31.2905 | -2.8112 | -2.8139 |
| 0.7257 | 0.52 | 200 | 0.9028 | -0.0688 | -0.1792 | 0.5573 | 0.1104 | -34.9542 | -31.3808 | -2.8244 | -2.8270 |
| 0.6308 | 0.78 | 300 | 0.9012 | -0.0642 | -0.1770 | 0.5656 | 0.1128 | -34.9511 | -31.3742 | -2.8184 | -2.8208 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1 |