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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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- trl |
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- dpo |
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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: 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: 2121.0452 |
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- Rewards/chosen: 0.0578 |
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- Rewards/rejected: -0.0912 |
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- Rewards/accuracies: 0.7599 |
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- Rewards/margins: 0.1490 |
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- Logps/rejected: -253.8891 |
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- Logps/chosen: -259.2458 |
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- Logits/rejected: -2.2028 |
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- Logits/chosen: -2.2552 |
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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: 2 |
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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: 16 |
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- total_train_batch_size: 128 |
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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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| 2149.4746 | 0.21 | 100 | 2190.7666 | 0.0445 | -0.0848 | 0.7460 | 0.1293 | -253.2523 | -260.5782 | -2.1770 | -2.2229 | |
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| 2105.1256 | 0.42 | 200 | 2151.1555 | 0.0543 | -0.0961 | 0.7599 | 0.1504 | -254.3840 | -259.5941 | -2.2074 | -2.2603 | |
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| 2135.4973 | 0.63 | 300 | 2129.0896 | 0.0626 | -0.0799 | 0.7560 | 0.1425 | -252.7585 | -258.7624 | -2.2232 | -2.2765 | |
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| 2099.8018 | 0.84 | 400 | 2121.6672 | 0.0538 | -0.0959 | 0.7540 | 0.1497 | -254.3591 | -259.6440 | -2.2016 | -2.2541 | |
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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 2.1.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
