update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bertimbau-base-finetuned-lener-br-finetuned-peticoes-assuntos
+  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-base-finetuned-lener-br-finetuned-peticoes-assuntos
+
+This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9930
+- Accuracy: 0.3575
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 4.7305        | 1.0   | 898  | 3.6586          | 0.2533   |
+| 3.4793        | 2.0   | 1796 | 3.2827          | 0.3029   |
+| 3.0791        | 3.0   | 2694 | 3.0938          | 0.3427   |
+| 2.83          | 4.0   | 3592 | 3.0101          | 0.3477   |
+| 2.7427        | 5.0   | 4490 | 2.9930          | 0.3575   |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1