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--- |
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language: |
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- pt |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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datasets: |
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- assin2 |
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metrics: |
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- accuracy |
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- f1 |
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pipeline_tag: text-classification |
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base_model: neuralmind/bert-base-portuguese-cased |
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model-index: |
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- name: pmfsl/bertimbau-base-finetuned-rte |
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results: |
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- task: |
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type: text-classification |
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name: Natural Lenguage Inference |
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dataset: |
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name: ASSIN2 |
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type: assin2 |
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metrics: |
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- type: accuracy |
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value: 0.877859477124183 |
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- type: f1 |
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value: 0.8860083873427372 |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# pmfsl/bertimbau-base-finetuned-rte |
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0326 |
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- Validation Loss: 0.1834 |
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- Test Loss: 0.5695 |
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- Train Accuracy: 0.9531 |
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- Train F1: 0.9534 |
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- Test Accuracy: 0.8778 |
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- Test F1: 0.8860 |
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- Epoch: 4 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 505, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Train F1 | Epoch | |
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|:----------:|:---------------:|:--------------:|:--------:|:-----:| |
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| 0.3846 | 0.2204 | 0.9152 | 0.9191 | 0 | |
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| 0.1981 | 0.1577 | 0.9442 | 0.9455 | 1 | |
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| 0.1026 | 0.1348 | 0.9509 | 0.9511 | 2 | |
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| 0.0593 | 0.1492 | 0.9531 | 0.9542 | 3 | |
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| 0.0326 | 0.1834 | 0.9531 | 0.9534 | 4 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- TensorFlow 2.12.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
