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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-reward-scale-01 |
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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-reward-scale-01 |
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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: 0.5383 |
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- Rewards/chosen: -1.3950 |
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- Rewards/rejected: -2.4464 |
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- Rewards/accuracies: 0.7241 |
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- Rewards/margins: 1.0514 |
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- Logps/rejected: -490.2826 |
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- Logps/chosen: -423.5039 |
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- Logits/rejected: 1.2749 |
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- Logits/chosen: -0.2527 |
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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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| 0.674 | 0.1147 | 50 | 0.6644 | -0.0456 | -0.1442 | 0.6724 | 0.0986 | -260.0650 | -288.5642 | -2.5039 | -2.6023 | |
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| 0.5874 | 0.2294 | 100 | 0.5920 | -0.9820 | -1.5650 | 0.6810 | 0.5830 | -402.1482 | -382.2076 | 0.3008 | -0.2226 | |
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| 0.5612 | 0.3440 | 150 | 0.5695 | -1.4677 | -2.3665 | 0.6897 | 0.8989 | -482.2998 | -430.7732 | 2.3140 | 1.4310 | |
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| 0.5427 | 0.4587 | 200 | 0.5523 | -1.3469 | -2.2624 | 0.7241 | 0.9156 | -471.8922 | -418.6947 | 0.9223 | -0.3630 | |
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| 0.5474 | 0.5734 | 250 | 0.5430 | -1.0958 | -2.0370 | 0.6897 | 0.9412 | -449.3501 | -393.5861 | 0.9071 | -0.4403 | |
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| 0.5556 | 0.6881 | 300 | 0.5404 | -1.3959 | -2.3862 | 0.7198 | 0.9903 | -484.2666 | -423.5919 | 1.1950 | -0.1993 | |
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| 0.5373 | 0.8028 | 350 | 0.5416 | -1.5583 | -2.5998 | 0.7284 | 1.0414 | -505.6230 | -439.8387 | 1.7159 | 0.2396 | |
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| 0.5405 | 0.9174 | 400 | 0.5383 | -1.3950 | -2.4464 | 0.7241 | 1.0514 | -490.2826 | -423.5039 | 1.2749 | -0.2527 | |
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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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