File size: 1,643 Bytes
4597a2f cf87ac4 4597a2f cf87ac4 4597a2f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
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
|