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clasificador-tweets2
feserrm/clasificador-tweets2
clasificador-tweets2 is a text classification model from feserrm. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Dec 16, 2024
- Updated
- Dec 16, 2024
- SHA
- cc963175
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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. -->
clasificador-tweets2
This model is a fine-tuned version of somosnlp-hackathon-2022/biomedtra-small-es-squad2-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5948
- Accuracy: 0.4894
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 2.0204 | 0.3404 |
| No log | 2.0 | 46 | 1.9668 | 0.3404 |
| No log | 3.0 | 69 | 1.9234 | 0.3404 |
| No log | 4.0 | 92 | 1.8778 | 0.3404 |
| No log | 5.0 | 115 | 1.8512 | 0.3404 |
| No log | 6.0 | 138 | 1.8098 | 0.3404 |
| No log | 7.0 | 161 | 1.7683 | 0.3617 |
| No log | 8.0 | 184 | 1.7476 | 0.3404 |
| No log | 9.0 | 207 | 1.6983 | 0.3404 |
| No log | 10.0 | 230 | 1.6630 | 0.4043 |
| No log | 11.0 | 253 | 1.6474 | 0.4468 |
| No log | 12.0 | 276 | 1.6140 | 0.4468 |
| No log | 13.0 | 299 | 1.6116 | 0.4468 |
| No log | 14.0 | 322 | 1.5956 | 0.4894 |
| No log | 15.0 | 345 | 1.5948 | 0.4894 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Dec 16, 2024
- Updated
- Dec 16, 2024