File size: 1,780 Bytes
e9c80eb 36972c1 75f38ca 36972c1 75f38ca e9c80eb 75f38ca e9c80eb 36972c1 75f38ca e9c80eb 75f38ca e9c80eb 36972c1 e9c80eb 75f38ca e9c80eb 75f38ca e9c80eb 75f38ca e9c80eb 75f38ca e9c80eb 75f38ca e9c80eb 75f38ca e9c80eb 75f38ca |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
base_model: mistralai/Mistral-7B-Instruct-v0.2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
- LoRa
model-index:
- name: mistral-7b-sql
results: []
---
# mistral-7b-sql
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 Hyper dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0316
## Intended uses & limitations
This model is intended to be used for Text-to-SQL tasks, such as an interface for querying a database in natural language.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3669 | 0.9231 | 3 | 2.0030 |
| 1.9273 | 1.8462 | 6 | 1.6669 |
| 1.5048 | 2.7692 | 9 | 1.4241 |
| 0.915 | 4.0 | 13 | 1.2316 |
| 0.9884 | 4.9231 | 16 | 1.1354 |
| 0.8136 | 5.8462 | 19 | 1.0745 |
| 0.684 | 6.7692 | 22 | 1.0422 |
| 0.4341 | 8.0 | 26 | 1.0330 |
| 0.526 | 8.9231 | 29 | 1.0319 |
| 0.3763 | 9.2308 | 30 | 1.0316 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |