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Neuria_BERT_Contexto
neuria99/Neuria_BERT_Contexto
Neuria_BERT_Contexto is a text classification model from neuria99. 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
- bert
- Access
- Public
- Created
- Feb 21, 2025
- Updated
- Jun 2, 2025
- SHA
- c2fea64c
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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. -->
Neuria_BERT_CONTEXTO
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1801
- Accuracy: 0.9190
- Precision Micro: 0.9539
- Recall Micro: 0.9462
- F1 Micro: 0.9501
- F1 Macro: 0.9376
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Micro | Recall Micro | F1 Micro | F1 Macro |
|---|---|---|---|---|---|---|---|---|
| 1.1891 | 1.0 | 81 | 0.9581 | 0.1558 | 0.4034 | 0.8360 | 0.5442 | 0.4684 |
| 0.6921 | 2.0 | 162 | 0.4294 | 0.5545 | 0.6583 | 0.9113 | 0.7644 | 0.6614 |
| 0.3172 | 3.0 | 243 | 0.2589 | 0.8442 | 0.8599 | 0.9570 | 0.9059 | 0.8296 |
| 0.1757 | 4.0 | 324 | 0.2079 | 0.9003 | 0.9267 | 0.9516 | 0.9390 | 0.9315 |
| 0.1175 | 5.0 | 405 | 0.1720 | 0.9097 | 0.9489 | 0.9489 | 0.9489 | 0.9493 |
| 0.0909 | 6.0 | 486 | 0.1789 | 0.9190 | 0.9515 | 0.9489 | 0.9502 | 0.9509 |
| 0.073 | 7.0 | 567 | 0.1692 | 0.9283 | 0.9543 | 0.9543 | 0.9543 | 0.9399 |
| 0.064 | 8.0 | 648 | 0.1829 | 0.9221 | 0.9542 | 0.9516 | 0.9529 | 0.9398 |
| 0.0585 | 9.0 | 729 | 0.1869 | 0.9221 | 0.9568 | 0.9516 | 0.9542 | 0.9499 |
| 0.0562 | 10.0 | 810 | 0.1801 | 0.9190 | 0.9539 | 0.9462 | 0.9501 | 0.9376 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 21, 2025
- Updated
- Jun 2, 2025