---
base_model: mrs-7b
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- gpt4_reward_with_format
model-index:
- name: zephyr-7b-sft-lora
  results: []
---

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# zephyr-7b-sft-lora

This model is a fine-tuned version of zephyr-7b on the gpt4_reward.
It achieves the following results on the evaluation set:
- Loss: 0.0911

## 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: 2e-05
- train_batch_size: 3
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 64
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1001        | 1.0   | 219  | 0.1006          |
| 0.0969        | 2.0   | 439  | 0.0930          |
| 0.0795        | 2.99  | 657  | 0.0911          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1