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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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-7b-dpo-full-gpt-high-curriculum |
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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-full-gpt-high-curriculum |
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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: 0.5179 |
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- Rewards/chosen: -0.8125 |
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- Rewards/rejected: -1.5680 |
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- Rewards/accuracies: 0.7241 |
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- Rewards/margins: 0.7555 |
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- Logps/rejected: -402.4431 |
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- Logps/chosen: -365.2540 |
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- Logits/rejected: 1.3741 |
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- Logits/chosen: 0.3005 |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 55 |
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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: 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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| 0.6573 | 0.1147 | 50 | 0.6482 | -0.0593 | -0.1537 | 0.6422 | 0.0944 | -261.0173 | -289.9336 | -2.4140 | -2.5168 | |
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| 0.5517 | 0.2294 | 100 | 0.5831 | -0.4867 | -1.0049 | 0.6940 | 0.5182 | -346.1422 | -332.6784 | -0.1634 | -0.6358 | |
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| 0.5596 | 0.3440 | 150 | 0.5497 | -0.4238 | -1.0012 | 0.7241 | 0.5774 | -345.7715 | -326.3861 | -0.2421 | -1.0045 | |
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| 0.557 | 0.4587 | 200 | 0.5398 | -0.7669 | -1.4634 | 0.7328 | 0.6965 | -391.9895 | -360.6939 | 0.6306 | -0.2433 | |
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| 0.5483 | 0.5734 | 250 | 0.5334 | -0.9092 | -1.6482 | 0.7371 | 0.7390 | -410.4661 | -374.9231 | 1.1694 | 0.1535 | |
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| 0.5338 | 0.6881 | 300 | 0.5227 | -0.7072 | -1.4506 | 0.7241 | 0.7434 | -390.7057 | -354.7213 | 1.1201 | 0.0530 | |
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| 0.5111 | 0.8028 | 350 | 0.5173 | -0.7777 | -1.5283 | 0.7284 | 0.7506 | -398.4796 | -361.7773 | 1.3205 | 0.2474 | |
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| 0.5185 | 0.9174 | 400 | 0.5179 | -0.8125 | -1.5680 | 0.7241 | 0.7555 | -402.4431 | -365.2540 | 1.3741 | 0.3005 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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