update model card README.md

README.md

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 ---
-license: apache-2.0
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: toxic-comment-classification
+  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. -->
+
+# toxic-comment-classification
+
+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: 0.5590
+- Accuracy: 0.8578
+- F1: 0.8580
+- Precision: 0.8594
+- Recall: 0.8578
+
+## 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: 3.255788747459486e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1993
+- optimizer: Adam with betas=(0.8445637934160373,0.8338816842140165) and epsilon=2.527092625455385e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+- label_smoothing_factor: 0.07158711257743958
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4422        | 1.0   | 1408  | 0.4197          | 0.8466   | 0.8470 | 0.8505    | 0.8466 |
+| 0.3566        | 2.0   | 2816  | 0.4724          | 0.8413   | 0.8394 | 0.8453    | 0.8413 |
+| 0.3135        | 3.0   | 4224  | 0.4801          | 0.8447   | 0.8434 | 0.8470    | 0.8447 |
+| 0.2638        | 4.0   | 5632  | 0.5590          | 0.8578   | 0.8580 | 0.8594    | 0.8578 |
+| 0.2314        | 5.0   | 7040  | 0.5605          | 0.8491   | 0.8487 | 0.8489    | 0.8491 |
+| 0.2221        | 6.0   | 8448  | 0.6369          | 0.8416   | 0.8414 | 0.8414    | 0.8416 |
+| 0.1939        | 7.0   | 9856  | 0.6518          | 0.8400   | 0.8402 | 0.8405    | 0.8400 |
+| 0.2015        | 8.0   | 11264 | 0.6042          | 0.8462   | 0.8457 | 0.8465    | 0.8462 |
+| 0.1989        | 9.0   | 12672 | 0.6236          | 0.8500   | 0.8496 | 0.8499    | 0.8500 |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.10.2+cu113
+- Datasets 2.9.0
+- Tokenizers 0.13.2