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gestionabilidad_v1_batch16
lmaccarini/gestionabilidad_v1_batch16
gestionabilidad_v1_batch16 is a text classification model from lmaccarini. 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 6, 2025
- Updated
- Mar 6, 2025
- SHA
- 6767c4e5
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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. -->
gestionabilidad_v1_batch16
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: 0.3453
- Accuracy: 0.9419
- Precision: 0.9422
- Recall: 0.9419
- F1: 0.9420
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: 16
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0985 | 0.2670 | 200 | 0.4983 | 0.9118 | 0.9207 | 0.9118 | 0.9135 |
| 0.1098 | 0.5340 | 400 | 0.3588 | 0.9225 | 0.9261 | 0.9225 | 0.9234 |
| 0.1049 | 0.8011 | 600 | 0.2562 | 0.9325 | 0.9322 | 0.9325 | 0.9319 |
| 0.0706 | 1.0681 | 800 | 0.4060 | 0.9309 | 0.9330 | 0.9309 | 0.9314 |
| 0.0376 | 1.3351 | 1000 | 0.3807 | 0.9339 | 0.9346 | 0.9339 | 0.9341 |
| 0.0406 | 1.6021 | 1200 | 0.3532 | 0.9365 | 0.9367 | 0.9365 | 0.9366 |
| 0.0528 | 1.8692 | 1400 | 0.2903 | 0.9452 | 0.9452 | 0.9452 | 0.9452 |
| 0.0624 | 2.1362 | 1600 | 0.3112 | 0.9439 | 0.9442 | 0.9439 | 0.9440 |
| 0.0219 | 2.4032 | 1800 | 0.3662 | 0.9419 | 0.9422 | 0.9419 | 0.9420 |
| 0.021 | 2.6702 | 2000 | 0.3364 | 0.9452 | 0.9452 | 0.9452 | 0.9452 |
| 0.0297 | 2.9372 | 2200 | 0.3453 | 0.9419 | 0.9422 | 0.9419 | 0.9420 |
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 6, 2025
- Updated
- Mar 6, 2025