---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: sqlm
  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. -->

# sqlm

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3241

## 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5521        | 0.03  | 20   | 0.4444          |
| 0.3942        | 0.05  | 40   | 0.3773          |
| 0.3777        | 0.08  | 60   | 0.3571          |
| 0.3452        | 0.11  | 80   | 0.3451          |
| 0.3219        | 0.13  | 100  | 0.3431          |
| 0.3339        | 0.16  | 120  | 0.3366          |
| 0.3147        | 0.19  | 140  | 0.3334          |
| 0.307         | 0.21  | 160  | 0.3341          |
| 0.3283        | 0.24  | 180  | 0.3259          |
| 0.3174        | 0.27  | 200  | 0.3241          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2