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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-reference
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-reference
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.
It achieves the following results on the evaluation set:
- Loss: 0.0429
- Rewards/chosen: -0.5987
- Rewards/rejected: -10.2552
- Rewards/accuracies: 0.9741
- Rewards/margins: 9.6565
- Logps/rejected: -175.1052
- Logps/chosen: -304.8906
- Logits/rejected: -1.9643
- Logits/chosen: -2.1592
## 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: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0811 | 0.29 | 500 | 0.0543 | -0.5167 | -8.9128 | 0.9720 | 8.3961 | -161.6813 | -304.0705 | -2.0037 | -2.1857 |
| 0.0362 | 0.57 | 1000 | 0.0483 | -0.4980 | -9.5824 | 0.9720 | 9.0844 | -168.3771 | -303.8834 | -2.0113 | -2.2030 |
| 0.0318 | 0.86 | 1500 | 0.0442 | -0.8458 | -10.5987 | 0.9720 | 9.7529 | -178.5403 | -307.3617 | -1.9506 | -2.1461 |
### Framework versions
- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
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