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Priorizacion_v2_batch32
M4rt0no/Priorizacion_v2_batch32
Priorizacion_v2_batch32 is a text classification model from M4rt0no. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025
- SHA
- f3a760dd
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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. -->
Gestionabilidad-v2_batch32
This model is a fine-tuned version of dccuchile/tulio-chilean-spanish-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8143
- Accuracy: 0.8451
- Precision: 0.8438
- Recall: 0.8451
- F1: 0.8443
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.5652 | 0.4292 | 400 | 0.5002 | 0.8044 | 0.8041 | 0.8044 | 0.8037 |
| 0.4494 | 0.8584 | 800 | 0.4102 | 0.8337 | 0.8341 | 0.8337 | 0.8338 |
| 0.3439 | 1.2876 | 1200 | 0.4437 | 0.8268 | 0.8427 | 0.8268 | 0.8286 |
| 0.3099 | 1.7167 | 1600 | 0.4289 | 0.8369 | 0.8387 | 0.8369 | 0.8375 |
| 0.26 | 2.1459 | 2000 | 0.4758 | 0.8405 | 0.8422 | 0.8405 | 0.8413 |
| 0.1838 | 2.5751 | 2400 | 0.5046 | 0.8384 | 0.8416 | 0.8384 | 0.8388 |
| 0.1733 | 3.0043 | 2800 | 0.4968 | 0.8378 | 0.8390 | 0.8378 | 0.8371 |
| 0.0997 | 3.4335 | 3200 | 0.6251 | 0.8412 | 0.8397 | 0.8412 | 0.8403 |
| 0.102 | 3.8627 | 3600 | 0.6324 | 0.8496 | 0.8504 | 0.8496 | 0.8499 |
| 0.0719 | 4.2918 | 4000 | 0.7935 | 0.8455 | 0.8463 | 0.8455 | 0.8449 |
| 0.0576 | 4.7210 | 4400 | 0.8143 | 0.8451 | 0.8438 | 0.8451 | 0.8443 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025