Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: neuralmind/bert-base-portuguese-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: bertimbau_toldbr
+  results: []
+---
+
+<!-- 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. -->
+
+# bertimbau_toldbr
+
+This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9035
+- Acc: 0.729
+- F1: 0.7215
+
+## 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: 16
+- 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 | Acc   | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|:------:|
+| 0.5586        | 1.0   | 63   | 0.6102          | 0.682 | 0.7171 |
+| 0.4488        | 2.0   | 126  | 0.6046          | 0.71  | 0.7222 |
+| 0.3006        | 3.0   | 189  | 0.6438          | 0.726 | 0.7319 |
+| 0.1351        | 4.0   | 252  | 0.8477          | 0.733 | 0.7114 |
+| 0.078         | 5.0   | 315  | 0.9035          | 0.729 | 0.7215 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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