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---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora
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-lora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5256
- Rewards/chosen: -0.1539
- Rewards/rejected: -0.9025
- Rewards/accuracies: 0.7420
- Rewards/margins: 0.7486
- Logps/rejected: -228.3078
- Logps/chosen: -266.1707
- Logits/rejected: -1.9406
- Logits/chosen: -2.0654
## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5516 | 1.0 | 968 | 0.5547 | -0.1140 | -0.6431 | 0.7160 | 0.5291 | -225.7137 | -265.7718 | -1.9903 | -2.1116 |
| 0.5443 | 2.0 | 1936 | 0.5307 | -0.1506 | -0.8643 | 0.7420 | 0.7136 | -227.9256 | -266.1383 | -1.9496 | -2.0740 |
| 0.5439 | 3.0 | 2904 | 0.5256 | -0.1539 | -0.9025 | 0.7420 | 0.7486 | -228.3078 | -266.1707 | -1.9406 | -2.0654 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1
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