End of training

README.md

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+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: PtBr_Classifier2
+  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. -->
+
+# PtBr_Classifier2
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1791
+- Accuracy: 0.9461
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4772        | 0.06  | 500  | 0.2501          | 0.9080   |
+| 0.3412        | 0.13  | 1000 | 0.2275          | 0.9135   |
+| 0.3122        | 0.19  | 1500 | 0.2578          | 0.9014   |
+| 0.2975        | 0.25  | 2000 | 0.1992          | 0.9396   |
+| 0.2877        | 0.31  | 2500 | 0.1791          | 0.9461   |
+| 0.2797        | 0.38  | 3000 | 0.1953          | 0.9350   |
+| 0.2714        | 0.44  | 3500 | 0.2240          | 0.9182   |
+| 0.2678        | 0.5   | 4000 | 0.2097          | 0.9320   |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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