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beto-sarcasmo
nicolenarvaezm/beto-sarcasmo
beto-sarcasmo is a text classification model from nicolenarvaezm. 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
- Jul 18, 2026
- Updated
- Jul 18, 2026
- SHA
- 8f9fc2b3
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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. -->
beto-sarcasmo
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: 0.6386
- F1 Macro: 0.9113
- F1 Weighted: 0.9150
- F1 Binary: 0.8927
- Accuracy: 0.9152
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | F1 Binary | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0049 | 1.0 | 382 | 0.6955 | 0.9125 | 0.9161 | 0.8943 | 0.9162 |
| 0.0195 | 2.0 | 764 | 0.7173 | 0.9004 | 0.9039 | 0.8828 | 0.9035 |
| 0.0187 | 3.0 | 1146 | 0.6043 | 0.9064 | 0.9097 | 0.8899 | 0.9094 |
| 0.0151 | 4.0 | 1528 | 0.6386 | 0.9113 | 0.9150 | 0.8927 | 0.9152 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026