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--- |
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license: other |
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license_name: microsoft-research-license |
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license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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base_model: Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1 |
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model-index: |
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- name: phi-2-sft-alpaca_gpt4_en-ep1-dpo-comparison_gpt4_en-ep1-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-sft-alpaca_gpt4_en-ep1-dpo-comparison_gpt4_en-ep1-lora |
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This model is a fine-tuned version of [Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1](https://huggingface.co/Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1) on the comparison_gpt4_en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0168 |
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- Rewards/chosen: -1.5750 |
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- Rewards/rejected: -11.4002 |
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- Rewards/accuracies: 0.9956 |
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- Rewards/margins: 9.8253 |
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- Logps/rejected: -142.2352 |
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- Logps/chosen: -139.5300 |
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- Logits/rejected: 0.6066 |
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- Logits/chosen: 0.9744 |
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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-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 2 |
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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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- num_epochs: 1.0 |
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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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| 0.0534 | 0.24 | 1000 | 0.0217 | -1.6714 | -10.2359 | 0.9945 | 8.5645 | -130.5921 | -140.4941 | 0.3064 | 0.5735 | |
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| 0.0182 | 0.49 | 2000 | 0.0175 | -1.5469 | -10.9602 | 0.9951 | 9.4133 | -137.8349 | -139.2487 | 0.6230 | 1.0709 | |
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| 0.0162 | 0.73 | 3000 | 0.0171 | -1.5517 | -11.4444 | 0.9962 | 9.8927 | -142.6772 | -139.2976 | 0.6325 | 1.0048 | |
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| 0.0154 | 0.98 | 4000 | 0.0168 | -1.5741 | -11.4004 | 0.9956 | 9.8262 | -142.2364 | -139.5214 | 0.6051 | 0.9729 | |
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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 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.0 |
