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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: 0.6928 |
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- Rewards/chosen: -0.0289 |
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- Rewards/rejected: -0.1011 |
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- Rewards/accuracies: 0.3532 |
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- Rewards/margins: 0.0722 |
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- Logps/rejected: -85.5050 |
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- Logps/chosen: -71.7912 |
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- Logits/rejected: -2.1148 |
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- Logits/chosen: -2.1436 |
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- Use Label: 14417.4287 |
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- Pred Label: 5654.5713 |
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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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| 0.6911 | 0.1 | 100 | 0.6919 | -0.0053 | -0.0356 | 0.3393 | 0.0303 | -78.9541 | -69.4262 | -2.0935 | -2.1210 | 1705.8572 | 150.1429 | |
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| 0.692 | 0.21 | 200 | 0.6927 | -0.0264 | -0.0695 | 0.3433 | 0.0431 | -82.3504 | -71.5409 | -2.1057 | -2.1268 | 3337.0476 | 622.9524 | |
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| 0.6924 | 0.31 | 300 | 0.6929 | -0.0369 | -0.0896 | 0.3393 | 0.0527 | -84.3537 | -72.5877 | -2.1933 | -2.2169 | 4863.7300 | 1200.2699 | |
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| 0.6927 | 0.42 | 400 | 0.6925 | -0.0211 | -0.0804 | 0.3413 | 0.0593 | -83.4364 | -71.0104 | -2.0934 | -2.1190 | 6324.0796 | 1843.9207 | |
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| 0.6924 | 0.52 | 500 | 0.6929 | -0.0206 | -0.0831 | 0.3433 | 0.0625 | -83.7112 | -70.9618 | -2.1518 | -2.1762 | 7772.7778 | 2499.2222 | |
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| 0.6929 | 0.63 | 600 | 0.6927 | -0.0452 | -0.1160 | 0.3512 | 0.0708 | -86.9945 | -73.4171 | -2.1125 | -2.1408 | 9198.8574 | 3177.1428 | |
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| 0.6928 | 0.73 | 700 | 0.6930 | -0.0507 | -0.1231 | 0.3512 | 0.0724 | -87.7077 | -73.9657 | -2.1086 | -2.1372 | 10627.2695 | 3852.7302 | |
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| 0.6927 | 0.84 | 800 | 0.6928 | -0.0272 | -0.0999 | 0.3552 | 0.0726 | -85.3832 | -71.6247 | -2.1141 | -2.1431 | 12045.5234 | 4538.4761 | |
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| 0.6929 | 0.94 | 900 | 0.6928 | -0.0288 | -0.1012 | 0.3492 | 0.0723 | -85.5160 | -71.7842 | -2.1139 | -2.1428 | 13461.3809 | 5226.6191 | |
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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 |
