---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: andewbot-ft
  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. -->

# andewbot-ft

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: 0.7098

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4346        | 0.95  | 10   | 2.3739          |
| 1.5612        | 2.0   | 21   | 1.0105          |
| 0.9258        | 2.95  | 31   | 0.8001          |
| 0.7463        | 4.0   | 42   | 0.7465          |
| 0.7622        | 4.95  | 52   | 0.7183          |
| 0.6714        | 6.0   | 63   | 0.7132          |
| 0.7291        | 6.95  | 73   | 0.7120          |
| 0.6559        | 8.0   | 84   | 0.7102          |
| 0.7171        | 8.95  | 94   | 0.7099          |
| 0.621         | 9.52  | 100  | 0.7098          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2