Downloads · 30 days
8
4% of all-time downloads
modelo-beto-burla
Nikte1/modelo-beto-burla
modelo-beto-burla is a text classification model from Nikte1. 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. --
All-time downloads
206
Public
Parameters
110M
1.3 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors439 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 7, 2026
- Updated
- Aug 6, 2026
- SHA
- d2cdda8d
Try a prompt
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. -->
modelo-beto-burla
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0574
- Accuracy: 0.9825
- Precision: 0.9524
- Recall: 1.0
- F1: 0.9756
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|---|---|---|---|
| 0.4113 | 1.0 | 29 | 0.1153 | 0.9825 | 1.0 | 0.95 | 0.9744 |
| 0.0446 | 2.0 | 58 | 0.0558 | 0.9825 | 0.9524 | 1.0 | 0.9756 |
| 0.0279 | 3.0 | 87 | 0.0574 | 0.9825 | 0.9524 | 1.0 | 0.9756 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 7, 2026
- Updated
- Aug 6, 2026