|
--- |
|
license: mit |
|
base_model: unicamp-dl/ptt5-base-portuguese-vocab |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- tiagoblima/preprocessed-du-qg-squadv1_pt |
|
model-index: |
|
- name: t5_base-qg-aap-oficial |
|
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_base-qg-aap-oficial |
|
|
|
This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on the tiagoblima/preprocessed-du-qg-squadv1_pt dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3527 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.9061 | 1.0 | 1386 | 1.6450 | |
|
| 1.7685 | 2.0 | 2772 | 1.5084 | |
|
| 1.6527 | 3.0 | 4158 | 1.4205 | |
|
| 1.6295 | 4.0 | 5544 | 1.3706 | |
|
| 1.5809 | 5.0 | 6930 | 1.3527 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.1 |
|
|
