---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: sid321axn/Mistral-7B-text-to-sql-finetuned
datasets:
- generator
model-index:
- name: mistral_instruct_generation_st_geometry
  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_generation_st_geometry

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2155

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2741        | 4.0   | 20   | 0.1555          |
| 0.0834        | 8.0   | 40   | 0.1331          |
| 0.0236        | 12.0  | 60   | 0.1771          |
| 0.0098        | 16.0  | 80   | 0.2101          |
| 0.0063        | 20.0  | 100  | 0.2155          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.2.2+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1