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-brazilian_court_decisions
+  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-brazilian_court_decisions
+
+This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6915
+- Accuracy: 0.7673
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 203  | 0.7956          | 0.6436   |
+| No log        | 2.0   | 406  | 0.6985          | 0.7104   |
+| 0.7262        | 3.0   | 609  | 0.6981          | 0.7550   |
+| 0.7262        | 4.0   | 812  | 0.6833          | 0.7599   |
+| 0.3722        | 5.0   | 1015 | 0.6915          | 0.7673   |
+
+
+### Framework versions
+
+- Transformers 4.22.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1