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--- |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- trl |
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- dpo |
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- alignment-handbook |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-lora-r16-20k |
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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-lora-r16-20k |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Logits/chosen: -2.5568 |
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- Logits/rejected: -2.5135 |
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- Logps/chosen: -362.1219 |
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- Logps/rejected: -395.5133 |
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- Loss: 0.5370 |
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- Rewards/accuracies: 0.7063 |
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- Rewards/chosen: -0.7888 |
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- Rewards/margins: 0.6860 |
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- Rewards/rejected: -1.4748 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.6895 | 0.08 | 100 | -2.8901 | -2.8481 | -282.2447 | -247.7537 | 0.6896 | 0.6627 | 0.0099 | 0.0072 | 0.0028 | |
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| 0.653 | 0.16 | 200 | -2.8742 | -2.8339 | -284.5635 | -257.5692 | 0.6569 | 0.6865 | -0.0133 | 0.0821 | -0.0954 | |
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| 0.6385 | 0.24 | 300 | -2.8399 | -2.8031 | -310.6566 | -295.5536 | 0.6190 | 0.6905 | -0.2742 | 0.2011 | -0.4752 | |
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| 0.5689 | 0.32 | 400 | -2.8437 | -2.8083 | -312.9573 | -305.2159 | 0.6027 | 0.6944 | -0.2972 | 0.2747 | -0.5719 | |
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| 0.5689 | 0.4 | 500 | -2.7560 | -2.7152 | -349.3812 | -355.0662 | 0.5750 | 0.7242 | -0.6614 | 0.4089 | -1.0704 | |
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| 0.5884 | 0.48 | 600 | -2.6724 | -2.6322 | -352.8877 | -375.1053 | 0.5479 | 0.7123 | -0.6965 | 0.5743 | -1.2708 | |
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| 0.5366 | 0.56 | 700 | -2.6541 | -2.6144 | -355.7809 | -381.5439 | 0.5462 | 0.7123 | -0.7254 | 0.6097 | -1.3351 | |
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| 0.542 | 0.64 | 800 | -2.6163 | -2.5757 | -352.4363 | -374.8915 | 0.5451 | 0.7262 | -0.6920 | 0.5766 | -1.2686 | |
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| 0.5282 | 0.72 | 900 | -2.5716 | -2.5266 | -362.9279 | -390.7825 | 0.5412 | 0.7083 | -0.7969 | 0.6306 | -1.4275 | |
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| 0.5873 | 0.8 | 1000 | -2.5693 | -2.5254 | -365.5720 | -399.3072 | 0.5369 | 0.7083 | -0.8233 | 0.6894 | -1.5128 | |
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| 0.5152 | 0.88 | 1100 | -2.5620 | -2.5188 | -357.7025 | -389.9855 | 0.5384 | 0.7143 | -0.7446 | 0.6749 | -1.4196 | |
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| 0.5213 | 0.96 | 1200 | -2.5568 | -2.5135 | -362.1219 | -395.5133 | 0.5370 | 0.7063 | -0.7888 | 0.6860 | -1.4748 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
