---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4891

## 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: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 15
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.1635        | 0.2005 | 10   | 0.7133          |
| 0.6525        | 0.4010 | 20   | 0.5602          |
| 0.5386        | 0.6015 | 30   | 0.5175          |
| 0.5042        | 0.8020 | 40   | 0.4926          |
| 0.487         | 1.0025 | 50   | 0.4839          |
| 0.4099        | 1.2030 | 60   | 0.4804          |
| 0.4078        | 1.4035 | 70   | 0.4748          |
| 0.4125        | 1.6040 | 80   | 0.4692          |
| 0.402         | 1.8045 | 90   | 0.4645          |
| 0.398         | 2.0050 | 100  | 0.4635          |
| 0.3066        | 2.2055 | 110  | 0.5003          |
| 0.3049        | 2.4060 | 120  | 0.4879          |
| 0.313         | 2.6065 | 130  | 0.4891          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1