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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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- generated_from_trainer |
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model-index: |
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- name: zephyr-dpop-qlora-uf6k-5e-6 |
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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-dpop-qlora-uf6k-5e-6 |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6879 |
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- Positive Losses: 0.0941 |
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- Dpo Losses: 0.6679 |
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- Rewards/chosen: 0.1483 |
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- Rewards/rejected: 0.0942 |
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- Rewards/accuracies: 0.6900 |
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- Rewards/margins: 0.0541 |
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- Rewards/margins Max: 0.2146 |
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- Rewards/margins Min: -0.0945 |
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- Rewards/margins Std: 0.1028 |
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- Logps/rejected: -249.1596 |
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- Logps/chosen: -269.7678 |
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- Logits/rejected: -2.7464 |
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- Logits/chosen: -2.7837 |
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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: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_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 | Validation Loss | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6896 | 0.3 | 100 | 0.6927 | 0.0589 | 0.6767 | 0.1278 | 0.0930 | 0.6710 | 0.0348 | 0.1572 | -0.0767 | 0.0771 | -249.2807 | -271.8154 | -2.7452 | -2.7829 | |
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| 0.6919 | 0.61 | 200 | 0.6864 | 0.0952 | 0.6689 | 0.1438 | 0.0918 | 0.6830 | 0.0521 | 0.2115 | -0.0943 | 0.1012 | -249.3993 | -270.2086 | -2.7481 | -2.7856 | |
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| 0.6774 | 0.91 | 300 | 0.6879 | 0.0941 | 0.6679 | 0.1483 | 0.0942 | 0.6900 | 0.0541 | 0.2146 | -0.0945 | 0.1028 | -249.1596 | -269.7678 | -2.7464 | -2.7837 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
