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---
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 |