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---
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-dpo-full
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Logits/chosen: -0.9126
- Logits/rejected: -0.7601
- Logps/chosen: -361.4586
- Logps/rejected: -470.9522
- Loss: 0.4905
- Rewards/accuracies: 0.7539
- Rewards/chosen: -0.7983
- Rewards/margins: 1.0337
- Rewards/rejected: -1.8319
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.5759 | 0.21 | 100 | -1.9151 | -1.8988 | -335.8161 | -395.6910 | 0.5723 | 0.7148 | -0.5418 | 0.5375 | -1.0793 |
| 0.5391 | 0.42 | 200 | -1.6570 | -1.5774 | -321.1682 | -405.0056 | 0.5138 | 0.7461 | -0.3953 | 0.7771 | -1.1724 |
| 0.4788 | 0.63 | 300 | -0.9864 | -0.8826 | -367.7277 | -475.5532 | 0.4939 | 0.7578 | -0.8609 | 1.0170 | -1.8779 |
| 0.4937 | 0.84 | 400 | -0.9126 | -0.7601 | -361.4586 | -470.9522 | 0.4905 | 0.7539 | -0.7983 | 1.0337 | -1.8319 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2
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