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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bert-large-cased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: vanhuyen/demo |
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results: [] |
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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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# vanhuyen/demo |
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co./bert-large-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1698 |
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- Train Accuracy: 0.9359 |
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- Validation Loss: 0.0592 |
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- Validation Accuracy: 0.9877 |
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- Epoch: 7 |
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-06, 'decay_steps': 24350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 1.1965 | 0.5073 | 0.6710 | 0.8000 | 0 | |
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| 0.7393 | 0.7065 | 0.2841 | 0.9377 | 1 | |
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| 0.4082 | 0.8426 | 0.1169 | 0.9762 | 2 | |
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| 0.2412 | 0.9114 | 0.0674 | 0.9877 | 3 | |
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| 0.1738 | 0.9385 | 0.0592 | 0.9877 | 4 | |
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| 0.1661 | 0.9405 | 0.0592 | 0.9877 | 5 | |
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| 0.1646 | 0.9395 | 0.0590 | 0.9877 | 6 | |
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| 0.1698 | 0.9359 | 0.0592 | 0.9877 | 7 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- TensorFlow 2.17.0 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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