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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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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: r-zephyr-7b-beta-qlora |
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results: [] |
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--- |
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# r-zephyr-7b-beta-qlora |
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The 'r' means replicate. This model is a model replicated by using https://github.com/huggingface/alignment-handbook. |
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This model is a fine-tuned version on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5232 |
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- Rewards/chosen: -0.9374 |
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- Rewards/rejected: -1.7181 |
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- Rewards/accuracies: 0.7734 |
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- Rewards/margins: 0.7807 |
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- Logps/rejected: -420.1122 |
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- Logps/chosen: -341.2448 |
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- Logits/rejected: 0.6190 |
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- Logits/chosen: 0.6345 |
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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: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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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| 0.5917 | 0.21 | 100 | 0.5950 | -0.3904 | -0.7775 | 0.7109 | 0.3872 | -326.0618 | -286.5451 | -1.9790 | -1.9769 | |
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| 0.5281 | 0.42 | 200 | 0.5492 | -0.8657 | -1.6137 | 0.7617 | 0.7479 | -409.6739 | -334.0814 | -0.2289 | -0.2367 | |
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| 0.5321 | 0.63 | 300 | 0.5321 | -0.7444 | -1.4427 | 0.7734 | 0.6983 | -392.5731 | -321.9463 | 0.3829 | 0.3741 | |
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| 0.5149 | 0.84 | 400 | 0.5233 | -0.9570 | -1.7432 | 0.7617 | 0.7862 | -422.6298 | -343.2071 | 0.6479 | 0.6688 | |
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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+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_amu__r-zephyr-7b-beta-qlora) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |62.70| |
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|AI2 Reasoning Challenge (25-Shot)|63.05| |
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|HellaSwag (10-Shot) |85.38| |
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|MMLU (5-Shot) |63.10| |
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|TruthfulQA (0-shot) |46.32| |
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|Winogrande (5-shot) |79.32| |
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|GSM8k (5-shot) |39.04| |
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