peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral-sql-finetune
  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-sql-finetune

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: 0.0305

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1899        | 0.17  | 25   | 0.3116          |
| 0.1795        | 0.33  | 50   | 0.1088          |
| 0.0819        | 0.5   | 75   | 0.0425          |
| 0.0453        | 0.67  | 100  | 0.0419          |
| 0.0534        | 0.83  | 125  | 0.0382          |
| 0.0338        | 1.0   | 150  | 0.0315          |
| 0.0358        | 1.17  | 175  | 0.0345          |
| 0.0336        | 1.33  | 200  | 0.0334          |
| 0.0401        | 1.5   | 225  | 0.0322          |
| 0.0326        | 1.67  | 250  | 0.0308          |
| 0.0396        | 1.83  | 275  | 0.0309          |
| 0.0307        | 2.0   | 300  | 0.0305          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0