|
---
|
|
library_name: peft
|
|
tags:
|
|
- trl
|
|
- sft
|
|
- generated_from_trainer
|
|
base_model: sid321axn/Mistral-7B-text-to-sql-finetuned
|
|
datasets:
|
|
- generator
|
|
model-index:
|
|
- name: mistral_instruct_generation_st_geometry
|
|
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_instruct_generation_st_geometry |
|
|
|
This model is a fine-tuned version of [sid321axn/Mistral-7B-text-to-sql-finetuned](https://huggingface.co/sid321axn/Mistral-7B-text-to-sql-finetuned) on the generator dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2155 |
|
|
|
## 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: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.2741 | 4.0 | 20 | 0.1555 | |
|
| 0.0834 | 8.0 | 40 | 0.1331 | |
|
| 0.0236 | 12.0 | 60 | 0.1771 | |
|
| 0.0098 | 16.0 | 80 | 0.2101 | |
|
| 0.0063 | 20.0 | 100 | 0.2155 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.19.1 |
