peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral-sql-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-sql-finetune

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7687

## 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: 2.5e-05
- train_batch_size: 2
- 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: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.349         | 0.52  | 25   | 1.5889          |
| 1.1213        | 1.04  | 50   | 1.3232          |
| 0.6369        | 1.56  | 75   | 1.3226          |
| 0.525         | 2.08  | 100  | 1.3375          |
| 0.256         | 2.6   | 125  | 1.5105          |
| 0.2127        | 3.12  | 150  | 1.4755          |
| 0.145         | 3.65  | 175  | 1.6525          |
| 0.1388        | 4.17  | 200  | 1.7168          |
| 0.114         | 4.69  | 225  | 1.7377          |
| 0.1076        | 5.21  | 250  | 1.7087          |
| 0.0986        | 5.73  | 275  | 1.7649          |
| 0.0912        | 6.25  | 300  | 1.7687          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0