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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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- EllieS/pubmedqa_dpo_selfgen_data |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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model-index: |
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- name: zephyr-7b-dpo-selfgen |
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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-selfgen |
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This model is a fine-tuned version of [EllieS/zephyr-7b-sft-qlora](https://huggingface.co./EllieS/zephyr-7b-sft-qlora) on the EllieS/pubmedqa_dpo_selfgen_data dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Rewards/chosen: -6.6466 |
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- Rewards/rejected: -19.5106 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 12.8639 |
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- Logps/rejected: -1996.6047 |
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- Logps/chosen: -731.7379 |
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- Logits/rejected: -2.0588 |
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- Logits/chosen: -2.4883 |
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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: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 3.0 |
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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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| 0.0241 | 0.42 | 7000 | -2.8328 | -2.8312 | -143.5124 | -856.1008 | 0.0101 | 1.0 | -0.7644 | 7.3411 | -8.1055 | |
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| 0.0001 | 0.83 | 14000 | -2.3450 | -1.9435 | -714.5292 | -1741.5647 | 0.0002 | 1.0 | -6.4745 | 10.4856 | -16.9602 | |
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| 0.0003 | 1.25 | 21000 | -2.4293 | -2.0264 | -695.5377 | -1973.5151 | 0.0001 | 1.0 | -6.2846 | 12.9950 | -19.2797 | |
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| 0.0 | 1.67 | 28000 | -2.5393 | -2.1793 | -619.2334 | -1821.8682 | 0.0001 | 1.0 | -5.5216 | 12.2416 | -17.7632 | |
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| 0.0001 | 2.09 | 35000 | -2.4633 | -1.9800 | -817.4478 | -2071.8862 | 0.0000 | 1.0 | -7.5037 | 12.7596 | -20.2634 | |
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| 0.0 | 2.5 | 42000 | -2.4883 | -2.0593 | -730.7642 | -2000.8484 | 0.0000 | 1.0 | -6.6369 | 12.9161 | -19.5530 | |
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| 0.0001 | 2.92 | 49000 | -2.4895 | -2.0591 | -732.9475 | -1999.9326 | 0.0000 | 1.0 | -6.6587 | 12.8851 | -19.5438 | |
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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 0.15.2 |
