---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: Mistral-7B-Instruct-v0.1-Txt-2-Presto-SQL
  results: []
---

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# Mistral-7B-Instruct-v0.1-Txt-2-Presto-SQL

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6481

## 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: 0.0001
- 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: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3518        | 0.71  | 10   | 1.0787          |
| 1.0171        | 1.43  | 20   | 0.8732          |
| 0.8466        | 2.14  | 30   | 0.7727          |
| 0.7681        | 2.86  | 40   | 0.7219          |
| 0.7008        | 3.57  | 50   | 0.6813          |
| 0.6467        | 4.29  | 60   | 0.6574          |
| 0.6205        | 5.0   | 70   | 0.6487          |
| 0.5791        | 5.71  | 80   | 0.6481          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0