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LVI_albertina-100m-portuguese-ptpt-encoder
liaad/LVI_albertina-100m-portuguese-ptpt-encoder
LVI_albertina-100m-portuguese-ptpt-encoder is a text classification model from liaad. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta
- Access
- Public
- Created
- Mar 21, 2024
- Updated
- Mar 26, 2024
- SHA
- 38d7f6a3
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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. -->
LVI_albertina-100m-portuguese-ptpt-encoder
This model is a fine-tuned version of PORTULAN/albertina-100m-portuguese-ptpt-encoder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1867
- Accuracy: 0.9802
- F1: 0.9800
- Precision: 0.9905
- Recall: 0.9696
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-06
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1284 | 1.0 | 3217 | 0.1454 | 0.9581 | 0.9567 | 0.9882 | 0.9272 |
| 0.0946 | 2.0 | 6434 | 0.1211 | 0.9737 | 0.9734 | 0.9864 | 0.9607 |
| 0.0575 | 3.0 | 9651 | 0.1087 | 0.9776 | 0.9774 | 0.9892 | 0.9659 |
| 0.0374 | 4.0 | 12868 | 0.1033 | 0.981 | 0.9809 | 0.9854 | 0.9765 |
| 0.0311 | 5.0 | 16085 | 0.1154 | 0.981 | 0.9808 | 0.9896 | 0.9722 |
| 0.0125 | 6.0 | 19302 | 0.1143 | 0.9830 | 0.9830 | 0.9833 | 0.9826 |
| 0.0107 | 7.0 | 22519 | 0.1562 | 0.9807 | 0.9805 | 0.9910 | 0.9702 |
| 0.0032 | 8.0 | 25736 | 0.1711 | 0.9808 | 0.9806 | 0.9892 | 0.9721 |
| 0.0036 | 9.0 | 28953 | 0.1867 | 0.9802 | 0.9800 | 0.9905 | 0.9696 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- License
- mit
- Created
- Mar 21, 2024
- Updated
- Mar 26, 2024