|
--- |
|
license: apache-2.0 |
|
base_model: t5-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: EN_t5-base_5_wikiSQL_sch |
|
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. --> |
|
|
|
# EN_t5-base_5_wikiSQL_sch |
|
|
|
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0120 |
|
- Rouge2 Precision: 0.9364 |
|
- Rouge2 Recall: 0.8382 |
|
- Rouge2 Fmeasure: 0.8771 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:| |
|
| 0.0199 | 1.0 | 4049 | 0.0150 | 0.9263 | 0.8311 | 0.8685 | |
|
| 0.015 | 2.0 | 8098 | 0.0131 | 0.9338 | 0.8353 | 0.8743 | |
|
| 0.0128 | 3.0 | 12147 | 0.0123 | 0.9353 | 0.8366 | 0.8758 | |
|
| 0.011 | 4.0 | 16196 | 0.0121 | 0.9358 | 0.8381 | 0.8768 | |
|
| 0.0098 | 5.0 | 20245 | 0.0120 | 0.9364 | 0.8382 | 0.8771 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.2.0 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
