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--- |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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library_name: peft |
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license: mit |
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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: ORPO-PHI-3 |
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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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# ORPO-PHI-3 |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7712 |
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- Rewards/chosen: -0.1577 |
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- Rewards/rejected: -0.1527 |
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- Rewards/accuracies: 0.3000 |
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- Rewards/margins: -0.0050 |
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- Logps/rejected: -1.5273 |
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- Logps/chosen: -1.5771 |
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- Logits/rejected: 2.7883 |
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- Logits/chosen: 1.8098 |
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- Nll Loss: 1.6979 |
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- Log Odds Ratio: -0.7331 |
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- Log Odds Chosen: -0.0576 |
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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: 1 |
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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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| 1.7534 | 0.2020 | 25 | 1.7712 | -0.1577 | -0.1527 | 0.3000 | -0.0050 | -1.5273 | -1.5771 | 2.7883 | 1.8098 | 1.6979 | -0.7331 | -0.0576 | |
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| 1.9166 | 0.4040 | 50 | 1.7712 | -0.1577 | -0.1527 | 0.3000 | -0.0050 | -1.5273 | -1.5771 | 2.7883 | 1.8098 | 1.6979 | -0.7331 | -0.0576 | |
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| 1.436 | 0.6061 | 75 | 1.7712 | -0.1577 | -0.1527 | 0.3000 | -0.0050 | -1.5273 | -1.5771 | 2.7883 | 1.8098 | 1.6979 | -0.7331 | -0.0576 | |
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| 1.6618 | 0.8081 | 100 | 1.7712 | -0.1577 | -0.1527 | 0.3000 | -0.0050 | -1.5273 | -1.5771 | 2.7883 | 1.8098 | 1.6979 | -0.7331 | -0.0576 | |
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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 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
