metadata
license: mit
base_model: unicamp-dl/ptt5-large-t5-vocab
tags:
- generated_from_trainer
datasets:
- tiagoblima/qg_squad_v1_pt
model-index:
- name: t5_large-qg-aap
results: []
t5_large-qg-aap
This model is a fine-tuned version of unicamp-dl/ptt5-large-t5-vocab on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 7.4208
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: 0.003
- train_batch_size: 128
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.5413 | 1.0 | 404 | 8.8502 |
| 6.7965 | 2.0 | 808 | 8.1184 |
| 6.3963 | 3.0 | 1212 | 7.6950 |
| 6.1664 | 4.0 | 1616 | 7.4855 |
| 6.1028 | 5.0 | 2020 | 7.4208 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0