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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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- dpo |
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- generated_from_trainer |
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base_model: microsoft/phi-2 |
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model-index: |
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- name: phi-2-distilabeled-intel-orca-dpo |
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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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# phi-2-distilabeled-intel-orca-dpo |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3007 |
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- Rewards/chosen: 0.0679 |
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- Rewards/rejected: -1.3058 |
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- Rewards/accuracies: 0.9265 |
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- Rewards/margins: 1.3737 |
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- Logps/rejected: -265.9995 |
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- Logps/chosen: -117.6325 |
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- Logits/rejected: 0.3789 |
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- Logits/chosen: 0.3129 |
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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: 1e-05 |
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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: 16 |
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- total_train_batch_size: 32 |
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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: 20 |
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- training_steps: 100 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6803 | 0.06 | 20 | 0.6533 | 0.0100 | -0.0741 | 0.8386 | 0.0841 | -253.6825 | -118.2115 | 0.3760 | 0.3395 | |
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| 0.5855 | 0.12 | 40 | 0.5133 | 0.0376 | -0.3927 | 0.9195 | 0.4303 | -256.8685 | -117.9349 | 0.3829 | 0.3363 | |
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| 0.452 | 0.19 | 60 | 0.3846 | 0.0620 | -0.8319 | 0.9246 | 0.8938 | -261.2602 | -117.6917 | 0.3875 | 0.3290 | |
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| 0.3538 | 0.25 | 80 | 0.3200 | 0.0716 | -1.1689 | 0.9269 | 1.2405 | -264.6308 | -117.5958 | 0.3836 | 0.3189 | |
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| 0.295 | 0.31 | 100 | 0.3007 | 0.0679 | -1.3058 | 0.9265 | 1.3737 | -265.9995 | -117.6325 | 0.3789 | 0.3129 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
