---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: Mistral-Instruct-7B-v0.2-ChatAlpaca
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-Instruct-7B-v0.2-ChatAlpaca

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8584

## 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.99          | 0.2   | 120  | 0.9355          |
| 0.8793        | 0.39  | 240  | 0.8848          |
| 0.8671        | 0.59  | 360  | 0.8737          |
| 0.8662        | 0.78  | 480  | 0.8679          |
| 0.8627        | 0.98  | 600  | 0.8639          |
| 0.8426        | 1.18  | 720  | 0.8615          |
| 0.8574        | 1.37  | 840  | 0.8598          |
| 0.8473        | 1.57  | 960  | 0.8589          |
| 0.8528        | 1.76  | 1080 | 0.8585          |
| 0.852         | 1.96  | 1200 | 0.8584          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0