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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-fix |
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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-fix |
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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: 0.5279 |
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- Rewards/chosen: -1.0268 |
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- Rewards/rejected: -1.8204 |
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- Rewards/accuracies: 0.7617 |
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- Rewards/margins: 0.7936 |
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- Logps/rejected: -429.5990 |
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- Logps/chosen: -349.1275 |
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- Logits/rejected: 1.1048 |
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- Logits/chosen: 1.1977 |
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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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| 0.5985 | 0.21 | 100 | 0.6167 | -0.6622 | -0.9981 | 0.7031 | 0.3359 | -347.3664 | -312.6618 | -2.0061 | -1.9992 | |
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| 0.5302 | 0.42 | 200 | 0.5495 | -0.8758 | -1.5987 | 0.7461 | 0.7229 | -407.4292 | -334.0204 | 0.3116 | 0.4001 | |
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| 0.533 | 0.63 | 300 | 0.5384 | -0.8142 | -1.5157 | 0.7617 | 0.7016 | -399.1313 | -327.8605 | 0.5716 | 0.6809 | |
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| 0.518 | 0.84 | 400 | 0.5276 | -1.0554 | -1.8498 | 0.75 | 0.7944 | -432.5438 | -351.9892 | 1.1053 | 1.1955 | |
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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 0.15.1 |
