|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: t5-small-finetuned-sql3 |
|
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. --> |
|
|
|
# t5-small-finetuned-sql3 |
|
|
|
This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1333 |
|
- Rouge2 Precision: 0.5318 |
|
- Rouge2 Recall: 0.3371 |
|
- Rouge2 Fmeasure: 0.3859 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |
|
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:| |
|
| No log | 1.0 | 438 | 0.1740 | 0.455 | 0.2876 | 0.3275 | |
|
| 0.2895 | 2.0 | 876 | 0.1479 | 0.5068 | 0.3184 | 0.3652 | |
|
| 0.1504 | 3.0 | 1314 | 0.1387 | 0.5213 | 0.3234 | 0.373 | |
|
| 0.1275 | 4.0 | 1752 | 0.1349 | 0.5219 | 0.3334 | 0.3796 | |
|
| 0.1158 | 5.0 | 2190 | 0.1333 | 0.5318 | 0.3371 | 0.3859 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0 |
|
- Pytorch 1.11.0+cu102 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
