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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: 0.6872 |
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- Rewards/chosen: -0.0312 |
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- Rewards/rejected: -0.0436 |
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- Rewards/accuracies: 0.3340 |
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- Rewards/margins: 0.0124 |
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- Logps/rejected: -98.5542 |
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- Logps/chosen: -94.8435 |
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- Logits/rejected: 0.7532 |
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- Logits/chosen: 0.7326 |
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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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| 0.693 | 0.21 | 100 | 0.7998 | 0.8176 | -91.7748 | -94.2804 | 0.6931 | 0.2680 | -0.0005 | 0.0004 | -0.0008 | |
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| 0.6922 | 0.42 | 200 | 0.7941 | 0.8121 | -91.9068 | -94.5141 | 0.6924 | 0.3020 | -0.0018 | 0.0014 | -0.0032 | |
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| 0.6917 | 0.63 | 300 | 0.7870 | 0.8057 | -92.2189 | -94.9659 | 0.6917 | 0.3100 | -0.0049 | 0.0028 | -0.0077 | |
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| 0.6905 | 0.84 | 400 | 0.7827 | 0.8012 | -92.4247 | -95.2509 | 0.6913 | 0.3280 | -0.0070 | 0.0036 | -0.0105 | |
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| 0.6898 | 1.05 | 500 | 0.6900 | -0.0142 | -0.0205 | 0.3360 | 0.0064 | -96.2490 | -93.1429 | 0.7903 | 0.7711 | |
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| 0.6882 | 1.26 | 600 | 0.6887 | -0.0217 | -0.0306 | 0.3340 | 0.0089 | -97.2594 | -93.8981 | 0.7722 | 0.7527 | |
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| 0.6858 | 1.47 | 700 | 0.6879 | -0.0274 | -0.0383 | 0.3280 | 0.0108 | -98.0249 | -94.4717 | 0.7600 | 0.7395 | |
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| 0.6857 | 1.67 | 800 | 0.6874 | -0.0303 | -0.0423 | 0.3340 | 0.0120 | -98.4270 | -94.7618 | 0.7548 | 0.7341 | |
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| 0.6866 | 1.88 | 900 | 0.6872 | -0.0313 | -0.0437 | 0.3420 | 0.0124 | -98.5655 | -94.8550 | 0.7528 | 0.7321 | |
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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 |
