safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
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
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# 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: 0.6142
- Rewards/chosen: 0.1283
- Rewards/rejected: -0.0917
- Rewards/accuracies: 0.6786
- Rewards/margins: 0.2200
- Logps/rejected: -238.3409
- Logps/chosen: -292.4302
- Logits/rejected: -2.4335
- Logits/chosen: -2.4867

## 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: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.654         | 1.0   | 121  | 0.6498          | 0.0901         | -0.0131          | 0.6786             | 0.1032          | -237.5548      | -292.8124    | -2.4392         | -2.4918       |
| 0.6269        | 2.0   | 242  | 0.6220          | 0.1207         | -0.0650          | 0.6746             | 0.1857          | -238.0732      | -292.5060    | -2.4357         | -2.4889       |
| 0.6158        | 3.0   | 363  | 0.6142          | 0.1283         | -0.0917          | 0.6786             | 0.2200          | -238.3409      | -292.4302    | -2.4335         | -2.4867       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
