---
library_name: peft
tags:
- generated_from_trainer
base_model: sid321axn/Mistral-7B-text-to-sql-finetuned
model-index:
- name: mistral-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-finetune

This model is a fine-tuned version of [sid321axn/Mistral-7B-text-to-sql-finetuned](https://huggingface.co/sid321axn/Mistral-7B-text-to-sql-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3199

## 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: 0.00025
- train_batch_size: 4
- 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: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2637        | 25.0  | 25   | 0.2518          |
| 0.0062        | 50.0  | 50   | 0.2701          |
| 0.0001        | 75.0  | 75   | 0.3082          |
| 0.0152        | 100.0 | 100  | 0.3453          |
| 0.0362        | 125.0 | 125  | 0.3130          |
| 0.0745        | 150.0 | 150  | 0.2873          |
| 0.0064        | 175.0 | 175  | 0.2935          |
| 0.0996        | 200.0 | 200  | 0.3202          |
| 0.0279        | 225.0 | 225  | 0.3330          |
| 0.0046        | 250.0 | 250  | 0.3273          |
| 0.0012        | 275.0 | 275  | 0.3133          |
| 0.0           | 300.0 | 300  | 0.3142          |
| 0.0           | 325.0 | 325  | 0.3159          |
| 0.0           | 350.0 | 350  | 0.3173          |
| 0.0           | 375.0 | 375  | 0.3185          |
| 0.0           | 400.0 | 400  | 0.3191          |
| 0.0           | 425.0 | 425  | 0.3196          |
| 0.0           | 450.0 | 450  | 0.3197          |
| 0.0           | 475.0 | 475  | 0.3199          |
| 0.0           | 500.0 | 500  | 0.3199          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1