End of training

README.md

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+---
+license: mit
+base_model: neuralmind/bert-base-portuguese-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: file_classifier_v3
+  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. -->
+
+# file_classifier_v3
+
+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: 0.6714
+- Accuracy: 0.8586
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 73   | 0.7821          | 0.7966   |
+| No log        | 2.0   | 146  | 0.7362          | 0.8103   |
+| No log        | 3.0   | 219  | 0.6557          | 0.8207   |
+| No log        | 4.0   | 292  | 0.7113          | 0.8069   |
+| No log        | 5.0   | 365  | 0.6241          | 0.8379   |
+| No log        | 6.0   | 438  | 0.6169          | 0.8448   |
+| 0.206         | 7.0   | 511  | 0.6305          | 0.8345   |
+| 0.206         | 8.0   | 584  | 0.6552          | 0.8621   |
+| 0.206         | 9.0   | 657  | 0.6110          | 0.8724   |
+| 0.206         | 10.0  | 730  | 0.6937          | 0.8552   |
+| 0.206         | 11.0  | 803  | 0.6749          | 0.8552   |
+| 0.206         | 12.0  | 876  | 0.6484          | 0.8690   |
+| 0.206         | 13.0  | 949  | 0.6889          | 0.8586   |
+| 0.0253        | 14.0  | 1022 | 0.6630          | 0.8586   |
+| 0.0253        | 15.0  | 1095 | 0.6714          | 0.8586   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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runs/Aug28_02-26-06_f136f0eb50ac/events.out.tfevents.1724811967.f136f0eb50ac.5858.1

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