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--- |
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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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library_name: peft |
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license: apache-2.0 |
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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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model-index: |
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- name: zephyr-7b-dpo-qlora |
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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-dpo-qlora |
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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: 0.4945 |
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- Rewards/chosen: -2.5530 |
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- Rewards/rejected: -3.6159 |
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- Rewards/accuracies: 0.7778 |
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- Rewards/margins: 1.0629 |
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- Logps/rejected: -606.2373 |
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- Logps/chosen: -520.2218 |
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- Logits/rejected: -0.9908 |
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- Logits/chosen: -1.1030 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6212 | 0.1047 | 100 | 0.6321 | -0.3313 | -0.5450 | 0.6944 | 0.2137 | -299.1472 | -298.0506 | -2.0086 | -2.0933 | |
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| 0.5618 | 0.2094 | 200 | 0.5601 | -0.8198 | -1.3660 | 0.7222 | 0.5461 | -381.2446 | -346.9064 | -1.6694 | -1.7551 | |
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| 0.54 | 0.3141 | 300 | 0.5265 | -1.5221 | -2.3343 | 0.7460 | 0.8122 | -478.0748 | -417.1275 | -1.0704 | -1.1715 | |
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| 0.5261 | 0.4187 | 400 | 0.5082 | -1.6553 | -2.5263 | 0.7540 | 0.8710 | -497.2759 | -430.4526 | -1.1014 | -1.2013 | |
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| 0.5107 | 0.5234 | 500 | 0.5059 | -2.4506 | -3.4250 | 0.75 | 0.9744 | -587.1476 | -509.9848 | -0.9852 | -1.0956 | |
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| 0.4851 | 0.6281 | 600 | 0.5023 | -2.2726 | -3.2316 | 0.7679 | 0.9590 | -567.8049 | -492.1783 | -0.9970 | -1.1078 | |
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| 0.4681 | 0.7328 | 700 | 0.4993 | -2.3170 | -3.3688 | 0.7679 | 1.0517 | -581.5197 | -496.6232 | -1.0068 | -1.1190 | |
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| 0.4852 | 0.8375 | 800 | 0.4950 | -2.3970 | -3.4117 | 0.7738 | 1.0147 | -585.8156 | -504.6183 | -1.0237 | -1.1353 | |
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| 0.4907 | 0.9422 | 900 | 0.4945 | -2.5678 | -3.6349 | 0.7778 | 1.0671 | -608.1346 | -521.7063 | -0.9901 | -1.1024 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
