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--- |
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library_name: transformers |
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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 |
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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 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5225 |
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- Rewards/chosen: -0.5814 |
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- Rewards/rejected: -1.3885 |
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- Rewards/accuracies: 0.7773 |
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- Rewards/margins: 0.8071 |
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- Logps/rejected: -403.6498 |
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- Logps/chosen: -323.4799 |
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- Logits/rejected: 1.6879 |
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- Logits/chosen: 1.2050 |
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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: 42 |
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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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| 0.5999 | 0.2092 | 100 | 0.5966 | -0.3739 | -0.7450 | 0.7109 | 0.3711 | -339.3055 | -302.7284 | -1.6763 | -1.7949 | |
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| 0.5606 | 0.4184 | 200 | 0.5555 | -0.6215 | -1.2285 | 0.7461 | 0.6069 | -387.6506 | -327.4932 | 1.5409 | 1.1102 | |
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| 0.5211 | 0.6276 | 300 | 0.5284 | -0.6372 | -1.3932 | 0.7617 | 0.7559 | -404.1211 | -329.0649 | 1.2079 | 0.7847 | |
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| 0.5189 | 0.8368 | 400 | 0.5225 | -0.5814 | -1.3885 | 0.7773 | 0.8071 | -403.6498 | -323.4799 | 1.6879 | 1.2050 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.1.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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