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beto-sarcasmo-bs32-ep10
PauAnd29/beto-sarcasmo-bs32-ep10
beto-sarcasmo-bs32-ep10 is a text classification model from PauAnd29. 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 2, 2026
- Updated
- Jul 2, 2026
- SHA
- 13539ef4
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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-bs32-ep10
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: 0.6352
- F1 Macro: 0.9149
- F1 Weighted: 0.9191
- Accuracy: 0.9194
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
|---|---|---|---|---|---|---|
| 0.6760 | 1.0 | 478 | 0.3306 | 0.8599 | 0.8644 | 0.8631 |
| 0.4085 | 2.0 | 956 | 0.2336 | 0.9046 | 0.9097 | 0.9105 |
| 0.2910 | 3.0 | 1434 | 0.2845 | 0.9059 | 0.9106 | 0.9110 |
| 0.2298 | 4.0 | 1912 | 0.3658 | 0.9133 | 0.9173 | 0.9173 |
| 0.1261 | 5.0 | 2390 | 0.4713 | 0.9121 | 0.9168 | 0.9175 |
| 0.1084 | 6.0 | 2868 | 0.4984 | 0.9177 | 0.9216 | 0.9217 |
| 0.0407 | 7.0 | 3346 | 0.5894 | 0.9136 | 0.9173 | 0.9170 |
| 0.0075 | 8.0 | 3824 | 0.6167 | 0.9150 | 0.9190 | 0.9191 |
| 0.0145 | 9.0 | 4302 | 0.6352 | 0.9149 | 0.9191 | 0.9194 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 2, 2026
- Updated
- Jul 2, 2026