---
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-NEWPOC
  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-NEWPOC

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: 0.5718

## 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: 1.25e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.6025        | 2.1053  | 10   | 1.3983          |
| 1.2594        | 4.2105  | 20   | 1.1677          |
| 1.1238        | 6.3158  | 30   | 1.0695          |
| 1.0331        | 8.4211  | 40   | 0.9917          |
| 0.9668        | 10.5263 | 50   | 0.9300          |
| 0.9064        | 12.6316 | 60   | 0.8783          |
| 0.8569        | 14.7368 | 70   | 0.8309          |
| 0.8099        | 16.8421 | 80   | 0.7842          |
| 0.7632        | 18.9474 | 90   | 0.7365          |
| 0.7188        | 21.0526 | 100  | 0.6991          |
| 0.6855        | 23.1579 | 110  | 0.6714          |
| 0.6587        | 25.2632 | 120  | 0.6492          |
| 0.6383        | 27.3684 | 130  | 0.6312          |
| 0.6206        | 29.4737 | 140  | 0.6171          |
| 0.6077        | 31.5789 | 150  | 0.6062          |
| 0.5964        | 33.6842 | 160  | 0.5973          |
| 0.5881        | 35.7895 | 170  | 0.5898          |
| 0.5805        | 37.8947 | 180  | 0.5831          |
| 0.5732        | 40.0    | 190  | 0.5771          |
| 0.5665        | 42.1053 | 200  | 0.5718          |


### Framework versions

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