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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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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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base_model: microsoft/phi-2 |
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model-index: |
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- name: phi-2-gpo-ultrachat-lora-2 |
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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-gpo-ultrachat-lora-2 |
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This model is a fine-tuned version of [lole25/phi-2-sft-ultrachat-lora](https://huggingface.co/lole25/phi-2-sft-ultrachat-lora) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0093 |
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- Rewards/chosen: -0.0154 |
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- Rewards/rejected: -0.0218 |
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- Rewards/accuracies: 0.3500 |
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- Rewards/margins: 0.0064 |
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- Logps/rejected: -96.3794 |
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- Logps/chosen: -93.2678 |
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- Logits/rejected: 0.7520 |
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- Logits/chosen: 0.7332 |
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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: 5e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.01 | 1.04 | 100 | 0.8011 | 0.8188 | -91.7671 | -94.2623 | 0.0100 | 0.25 | -0.0004 | 0.0003 | -0.0007 | |
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| 0.0098 | 0.42 | 200 | 0.0098 | -0.0018 | -0.0032 | 0.3060 | 0.0015 | -94.5191 | -91.9032 | 0.8107 | 0.7928 | |
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| 0.0095 | 0.63 | 300 | 0.0096 | -0.0058 | -0.0088 | 0.3060 | 0.0030 | -95.0819 | -92.3092 | 0.7982 | 0.7800 | |
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| 0.0091 | 0.84 | 400 | 0.0094 | -0.0110 | -0.0157 | 0.3340 | 0.0047 | -95.7642 | -92.8250 | 0.7753 | 0.7565 | |
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| 0.0094 | 1.05 | 500 | 0.0093 | -0.0132 | -0.0192 | 0.3400 | 0.0060 | -96.1150 | -93.0463 | 0.7679 | 0.7492 | |
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| 0.0093 | 1.26 | 600 | 0.0093 | -0.0144 | -0.0207 | 0.3440 | 0.0063 | -96.2631 | -93.1677 | 0.7578 | 0.7383 | |
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| 0.009 | 1.47 | 700 | 0.0093 | -0.0152 | -0.0212 | 0.3480 | 0.0060 | -96.3198 | -93.2491 | 0.7545 | 0.7355 | |
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| 0.009 | 1.67 | 800 | 0.0093 | -0.0155 | -0.0218 | 0.3420 | 0.0063 | -96.3791 | -93.2749 | 0.7523 | 0.7328 | |
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| 0.0091 | 1.88 | 900 | 0.0093 | -0.0156 | -0.0218 | 0.3480 | 0.0063 | -96.3809 | -93.2841 | 0.7515 | 0.7320 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
