|
--- |
|
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: 1.7687 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.349 | 0.52 | 25 | 1.5889 | |
|
| 1.1213 | 1.04 | 50 | 1.3232 | |
|
| 0.6369 | 1.56 | 75 | 1.3226 | |
|
| 0.525 | 2.08 | 100 | 1.3375 | |
|
| 0.256 | 2.6 | 125 | 1.5105 | |
|
| 0.2127 | 3.12 | 150 | 1.4755 | |
|
| 0.145 | 3.65 | 175 | 1.6525 | |
|
| 0.1388 | 4.17 | 200 | 1.7168 | |
|
| 0.114 | 4.69 | 225 | 1.7377 | |
|
| 0.1076 | 5.21 | 250 | 1.7087 | |
|
| 0.0986 | 5.73 | 275 | 1.7649 | |
|
| 0.0912 | 6.25 | 300 | 1.7687 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.2.dev0 |
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
