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t5_base-qg-ap-oficial
tiagoblima/t5_base-qg-ap-oficial
t5_base-qg-ap-oficial is a machine learning model from tiagoblima. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Jan 26, 2024
- SHA
- 71091698
Base models
Model card
From the Hugging Face model README
<!-- 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-ap-oficial
This model is a fine-tuned version of 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: 1.3543
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 |
|---|---|---|---|
| 1.9237 | 1.0 | 1386 | 1.6561 |
| 1.7757 | 2.0 | 2772 | 1.5138 |
| 1.6625 | 3.0 | 4158 | 1.4245 |
| 1.6348 | 4.0 | 5544 | 1.3713 |
| 1.591 | 5.0 | 6930 | 1.3543 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Jan 23, 2024
- Updated
- Jan 26, 2024