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--- |
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license: mit |
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library_name: peft |
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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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base_model: microsoft/Phi-3-mini-128k-instruct |
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model-index: |
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- name: orpo-phi |
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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 |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3298 |
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- Rewards/chosen: -0.1126 |
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- Rewards/rejected: -0.1126 |
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- Rewards/accuracies: 0.0 |
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- Rewards/margins: 0.0 |
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- Logps/rejected: -1.1264 |
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- Logps/chosen: -1.1264 |
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- Logits/rejected: 4.2177 |
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- Logits/chosen: 4.2177 |
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- Nll Loss: 1.2605 |
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- Log Odds Ratio: -0.6931 |
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- Log Odds Chosen: 0.0 |
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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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| 3.4409 | 0.24 | 3 | 1.3298 | -0.1126 | -0.1126 | 0.0 | 0.0 | -1.1264 | -1.1264 | 4.2177 | 4.2177 | 1.2605 | -0.6931 | 0.0 | |
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| 2.909 | 0.48 | 6 | 1.3298 | -0.1126 | -0.1126 | 0.0 | 0.0 | -1.1264 | -1.1264 | 4.2177 | 4.2177 | 1.2605 | -0.6931 | 0.0 | |
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| 2.633 | 0.72 | 9 | 1.3298 | -0.1126 | -0.1126 | 0.0 | 0.0 | -1.1264 | -1.1264 | 4.2177 | 4.2177 | 1.2605 | -0.6931 | 0.0 | |
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| 3.3955 | 0.96 | 12 | 1.3298 | -0.1126 | -0.1126 | 0.0 | 0.0 | -1.1264 | -1.1264 | 4.2177 | 4.2177 | 1.2605 | -0.6931 | 0.0 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
