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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-dpo-ultrachat-lora |
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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-dpo-ultrachat-lora |
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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: 0.6912 |
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- Rewards/chosen: -0.0072 |
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- Rewards/rejected: -0.0111 |
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- Rewards/accuracies: 0.3180 |
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- Rewards/margins: 0.0040 |
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- Logps/rejected: -95.3090 |
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- Logps/chosen: -92.4438 |
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- Logits/rejected: 0.8021 |
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- Logits/chosen: 0.7828 |
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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: 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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.693 | 0.21 | 100 | 0.6931 | -0.0005 | -0.0008 | 0.2680 | 0.0004 | -94.2804 | -91.7748 | 0.8176 | 0.7998 | |
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| 0.6922 | 0.42 | 200 | 0.6924 | -0.0018 | -0.0032 | 0.3020 | 0.0014 | -94.5141 | -91.9068 | 0.8121 | 0.7941 | |
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| 0.6917 | 0.63 | 300 | 0.6917 | -0.0049 | -0.0077 | 0.3100 | 0.0028 | -94.9659 | -92.2189 | 0.8057 | 0.7870 | |
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| 0.6905 | 0.84 | 400 | 0.6913 | -0.0070 | -0.0105 | 0.3280 | 0.0036 | -95.2509 | -92.4247 | 0.8012 | 0.7827 | |
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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 |
