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--- |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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library_name: peft |
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license: llama3 |
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tags: |
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- trl |
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- orpo |
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- generated_from_trainer |
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model-index: |
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- name: OrpoLlama-3-8B-Instruct |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# OrpoLlama-3-8B-Instruct |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0517 |
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- Rewards/chosen: -0.0621 |
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- Rewards/rejected: -0.0634 |
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- Rewards/accuracies: 0.6000 |
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- Rewards/margins: 0.0013 |
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- Logps/rejected: -0.6340 |
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- Logps/chosen: -0.6207 |
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- Logits/rejected: -0.2825 |
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- Logits/chosen: -0.2736 |
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- Nll Loss: 0.9848 |
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- Log Odds Ratio: -0.6691 |
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- Log Odds Chosen: 0.1127 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 8e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3 |
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### Training results |
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| 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 | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
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| 2.2564 | 0.5980 | 74 | 1.8521 | -0.1306 | -0.1270 | 0.6000 | -0.0036 | -1.2696 | -1.3055 | -0.4912 | -0.5850 | 1.7776 | -0.7454 | -0.0391 | |
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| 1.8749 | 1.1960 | 148 | 1.3145 | -0.0855 | -0.0879 | 0.6000 | 0.0024 | -0.8795 | -0.8553 | -0.2945 | -0.2832 | 1.2482 | -0.6628 | 0.1091 | |
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| 1.1933 | 1.7939 | 222 | 1.1033 | -0.0662 | -0.0667 | 0.6000 | 0.0005 | -0.6671 | -0.6624 | -0.2268 | -0.2101 | 1.0354 | -0.6787 | 0.0828 | |
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| 0.8761 | 2.3919 | 296 | 1.0517 | -0.0621 | -0.0634 | 0.6000 | 0.0013 | -0.6340 | -0.6207 | -0.2825 | -0.2736 | 0.9848 | -0.6691 | 0.1127 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
