| | --- |
| | base_model: NousResearch/Meta-Llama-3-8B-Instruct |
| | library_name: peft |
| | license: other |
| | tags: |
| | - trl |
| | - orpo |
| | - generated_from_trainer |
| | model-index: |
| | - name: results |
| | 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. --> |
| |
|
| | # results |
| |
|
| | This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1433 |
| | - Rewards/chosen: -0.0156 |
| | - Rewards/rejected: -1.1268 |
| | - Rewards/accuracies: 1.0 |
| | - Rewards/margins: 1.1112 |
| | - Logps/rejected: -11.2681 |
| | - Logps/chosen: -0.1556 |
| | - Logits/rejected: -0.2138 |
| | - Logits/chosen: 0.6631 |
| | - Nll Loss: 0.1433 |
| | - Log Odds Ratio: -0.0000 |
| | - Log Odds Chosen: 13.2065 |
| |
|
| | ## 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: 8e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 10 |
| | - 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
| | | 0.1869 | 0.5001 | 2175 | 0.1433 | -0.0156 | -1.1268 | 1.0 | 1.1112 | -11.2681 | -0.1556 | -0.2138 | 0.6631 | 0.1433 | -0.0000 | 13.2065 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.11.1 |
| | - Transformers 4.42.3 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
