---
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- ultrachat_200k/data
base_model: Mistral-7B-Instruct-v0.1
model-index:
- name: zephyr-7b-sft-qlora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-sft-qlora

This model is a fine-tuned version of [Mistral-7B-Instruct-v0.1](https://huggingface.co//mntcephfs/data/med/guimingchen/models/general/Mistral-7B-Instruct-v0.1) on the /mntcephfs/lab_data/chennuo/MEAL/models/ultrachat_200k/data dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0257

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- 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  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9852        | 1.0   | 33490 | 1.0257          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1