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---
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: 0.0307
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1806 | 0.17 | 25 | 0.3104 |
| 0.1789 | 0.33 | 50 | 0.1074 |
| 0.0665 | 0.5 | 75 | 0.0420 |
| 0.0444 | 0.67 | 100 | 0.0414 |
| 0.05 | 0.83 | 125 | 0.0351 |
| 0.0322 | 1.0 | 150 | 0.0311 |
| 0.0361 | 1.17 | 175 | 0.0343 |
| 0.0338 | 1.33 | 200 | 0.0319 |
| 0.039 | 1.5 | 225 | 0.0322 |
| 0.0324 | 1.67 | 250 | 0.0304 |
| 0.0392 | 1.83 | 275 | 0.0309 |
| 0.0305 | 2.0 | 300 | 0.0307 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0 |