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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_consistent-3 |
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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_consistent-3 |
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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: 0.4898 |
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- Rewards/chosen: -0.9477 |
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- Rewards/rejected: -1.9210 |
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- Rewards/accuracies: 0.7543 |
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- Rewards/margins: 0.9733 |
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- Logps/rejected: -438.6234 |
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- Logps/chosen: -379.8649 |
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- Logits/rejected: 2.2425 |
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- Logits/chosen: 0.9259 |
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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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| 0.5718 | 0.2294 | 100 | 0.5525 | -0.3811 | -0.9418 | 0.6940 | 0.5607 | -340.7015 | -323.2031 | -1.1398 | -1.3666 | |
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| 0.5281 | 0.4587 | 200 | 0.5102 | -0.6195 | -1.4237 | 0.7457 | 0.8042 | -388.8913 | -347.0378 | 1.0061 | -0.1205 | |
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| 0.5213 | 0.6881 | 300 | 0.4939 | -0.9485 | -1.8771 | 0.7543 | 0.9286 | -434.2354 | -379.9385 | 1.7281 | 0.3985 | |
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| 0.5037 | 0.9174 | 400 | 0.4898 | -0.9477 | -1.9210 | 0.7543 | 0.9733 | -438.6234 | -379.8649 | 2.2425 | 0.9259 | |
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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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