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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-prometheus-high-margin-3-epochs |
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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-prometheus-high-margin-3-epochs |
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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: 0.5829 |
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- Rewards/chosen: -2.8437 |
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- Rewards/rejected: -4.4971 |
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- Rewards/accuracies: 0.7629 |
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- Rewards/margins: 1.6534 |
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- Logps/rejected: -697.9909 |
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- Logps/chosen: -544.3318 |
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- Logits/rejected: 4.2569 |
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- Logits/chosen: 2.5320 |
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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: 3 |
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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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| 0.5554 | 0.3802 | 50 | 0.6140 | -0.1671 | -0.4180 | 0.6897 | 0.2509 | -290.0737 | -276.6687 | -2.5786 | -2.6244 | |
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| 0.3147 | 0.7605 | 100 | 0.5617 | -1.1542 | -2.1116 | 0.7328 | 0.9574 | -459.4361 | -375.3786 | 1.5949 | 0.7404 | |
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| 0.214 | 1.1407 | 150 | 0.5560 | -1.2961 | -2.4277 | 0.7457 | 1.1316 | -491.0475 | -389.5718 | 2.0487 | 0.8077 | |
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| 0.1866 | 1.5209 | 200 | 0.5364 | -1.4494 | -2.6242 | 0.7414 | 1.1748 | -510.6940 | -404.8973 | 2.0297 | 0.7929 | |
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| 0.1899 | 1.9011 | 250 | 0.5391 | -1.7883 | -3.0786 | 0.7457 | 1.2902 | -556.1323 | -438.7930 | 2.5714 | 1.2524 | |
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| 0.1083 | 2.2814 | 300 | 0.5584 | -2.1009 | -3.5313 | 0.7629 | 1.4304 | -601.4120 | -470.0527 | 3.6920 | 2.2903 | |
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| 0.0955 | 2.6616 | 350 | 0.5829 | -2.8437 | -4.4971 | 0.7629 | 1.6534 | -697.9909 | -544.3318 | 4.2569 | 2.5320 | |
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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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