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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b |
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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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# zephyr-7b |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6918 |
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- Rewards/chosen: -0.0862 |
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- Rewards/rejected: -0.1980 |
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- Rewards/accuracies: 0.3591 |
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- Rewards/margins: 0.1117 |
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- Logps/rejected: -95.1937 |
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- Logps/chosen: -77.5232 |
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- Logits/rejected: -1.9123 |
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- Logits/chosen: -1.9402 |
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- Use Label: 15333.4131 |
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- Pred Label: 4738.5874 |
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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: 8 |
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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: 32 |
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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 | Use Label | Pred Label | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:----------:|:----------:| |
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| 0.6876 | 0.1 | 100 | 0.6896 | -0.0555 | -0.0989 | 0.3353 | 0.0434 | -85.2883 | -74.4495 | -2.0761 | -2.1076 | 1766.8572 | 89.1429 | |
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| 0.6892 | 0.21 | 200 | 0.6894 | -0.0049 | -0.0560 | 0.3492 | 0.0511 | -80.9954 | -69.3876 | -2.0287 | -2.0520 | 3500.8889 | 459.1111 | |
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| 0.6904 | 0.31 | 300 | 0.6909 | -0.0625 | -0.1410 | 0.3532 | 0.0785 | -89.5016 | -75.1524 | -1.9943 | -2.0164 | 5140.6826 | 923.3174 | |
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| 0.6906 | 0.42 | 400 | 0.6921 | -0.0637 | -0.1541 | 0.3512 | 0.0904 | -90.8064 | -75.2687 | -2.0248 | -2.0481 | 6695.4287 | 1472.5714 | |
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| 0.6903 | 0.52 | 500 | 0.6914 | -0.0747 | -0.1726 | 0.3492 | 0.0979 | -92.6561 | -76.3697 | -1.9801 | -2.0071 | 8246.2061 | 2025.7937 | |
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| 0.6903 | 0.63 | 600 | 0.6917 | -0.1005 | -0.2047 | 0.3552 | 0.1042 | -95.8670 | -78.9543 | -1.9601 | -1.9870 | 9772.0635 | 2603.9365 | |
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| 0.6917 | 0.73 | 700 | 0.6917 | -0.1117 | -0.2224 | 0.3512 | 0.1108 | -97.6411 | -80.0681 | -1.9401 | -1.9659 | 11284.7773 | 3195.2222 | |
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| 0.6912 | 0.84 | 800 | 0.6917 | -0.0869 | -0.1981 | 0.3631 | 0.1112 | -95.2089 | -77.5874 | -1.9144 | -1.9422 | 12826.8252 | 3757.1746 | |
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| 0.6914 | 0.94 | 900 | 0.6918 | -0.0863 | -0.1983 | 0.3571 | 0.1120 | -95.2291 | -77.5275 | -1.9113 | -1.9391 | 14335.7139 | 4352.2856 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
