---
library_name: peft
tags:
- generated_from_trainer
- unsloth
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
model-index:
- name: Mistral-Instruct-7B-v0.2-ChatAlpacaV2
  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. -->

# Mistral-Instruct-7B-v0.2-ChatAlpacaV2

This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8225

## 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-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8873        | 0.2   | 120  | 0.8803          |
| 0.8507        | 0.39  | 240  | 0.8559          |
| 0.8502        | 0.59  | 360  | 0.8462          |
| 0.8275        | 0.78  | 480  | 0.8406          |
| 0.8452        | 0.98  | 600  | 0.8299          |
| 0.8296        | 1.18  | 720  | 0.8259          |
| 0.8243        | 1.37  | 840  | 0.8242          |
| 0.8133        | 1.57  | 960  | 0.8232          |
| 0.8265        | 1.76  | 1080 | 0.8227          |
| 0.8194        | 1.96  | 1200 | 0.8225          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.1
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1