---
license: apache-2.0
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: 0.3168

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.5858        | 0.0333 | 20   | 0.4605          |
| 0.395         | 0.0667 | 40   | 0.3820          |
| 0.352         | 0.1    | 60   | 0.3551          |
| 0.3695        | 0.1333 | 80   | 0.3410          |
| 0.3281        | 0.1667 | 100  | 0.3359          |
| 0.3304        | 0.2    | 120  | 0.3325          |
| 0.3435        | 0.2333 | 140  | 0.3292          |
| 0.3416        | 0.2667 | 160  | 0.3275          |
| 0.3331        | 0.3    | 180  | 0.3221          |
| 0.328         | 0.3333 | 200  | 0.3168          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1