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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: 0.5473 |
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- Rewards/chosen: -0.8609 |
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- Rewards/rejected: -1.5251 |
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- Rewards/accuracies: 0.7422 |
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- Rewards/margins: 0.6641 |
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- Logps/rejected: -404.3018 |
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- Logps/chosen: -336.2481 |
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- Logits/rejected: 0.0706 |
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- Logits/chosen: -0.1471 |
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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: 2 |
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- total_train_batch_size: 64 |
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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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| 0.6812 | 0.1 | 100 | 0.6787 | 0.0452 | 0.0120 | 0.6992 | 0.0332 | -250.5929 | -245.6322 | -2.1942 | -2.2517 | |
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| 0.6066 | 0.21 | 200 | 0.6151 | -0.2303 | -0.5020 | 0.6992 | 0.2717 | -301.9975 | -273.1855 | -1.9906 | -2.0610 | |
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| 0.5711 | 0.31 | 300 | 0.5927 | -0.4441 | -0.8513 | 0.7188 | 0.4072 | -336.9228 | -294.5666 | -1.9417 | -2.0223 | |
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| 0.557 | 0.42 | 400 | 0.5817 | -0.5958 | -1.0732 | 0.7227 | 0.4773 | -359.1117 | -309.7378 | -1.7434 | -1.8364 | |
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| 0.5703 | 0.52 | 500 | 0.5679 | -0.7215 | -1.2405 | 0.7266 | 0.5189 | -375.8402 | -322.3068 | -0.8467 | -0.9967 | |
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| 0.5498 | 0.63 | 600 | 0.5582 | -0.7003 | -1.2848 | 0.7578 | 0.5845 | -380.2699 | -320.1794 | -0.2510 | -0.4463 | |
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| 0.5279 | 0.73 | 700 | 0.5490 | -0.8400 | -1.4901 | 0.75 | 0.6501 | -400.8082 | -334.1553 | 0.0145 | -0.1988 | |
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| 0.5264 | 0.84 | 800 | 0.5475 | -0.8613 | -1.5228 | 0.7461 | 0.6615 | -404.0751 | -336.2833 | 0.0604 | -0.1549 | |
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| 0.5639 | 0.94 | 900 | 0.5475 | -0.8628 | -1.5267 | 0.7422 | 0.6639 | -404.4688 | -336.4348 | 0.0704 | -0.1466 | |
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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 0.15.0 |
