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clasificador-sms
Katowise/clasificador-sms
clasificador-sms is a text classification model from Katowise. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 19, 2023
- Updated
- Apr 19, 2023
- SHA
- ebb1f94d
Try a prompt
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. -->
clasificador-sms
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0286
- Accuracy: 0.9964
Model description
Se cree que arroja un acuraccy tan bueno porque las clases están desbalanceadas, como no era el objetivo de la asignatura no se indagado más sobre este problema
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0805 | 1.0 | 627 | 0.0328 | 0.9928 |
| 0.0343 | 2.0 | 1254 | 0.0180 | 0.9964 |
| 0.0132 | 3.0 | 1881 | 0.0286 | 0.9964 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 19, 2023
- Updated
- Apr 19, 2023