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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Valent2809/news_classifier_covid19
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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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# Valent2809/news_classifier_covid19
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0080
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- Validation Loss: 0.1031
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- Train Accuracy: 0.9771
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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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2830, '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 | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.0317 | 0.0990 | 0.9736 | 0 |
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| 0.0239 | 0.1048 | 0.9762 | 1 |
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| 0.0161 | 0.1136 | 0.9762 | 2 |
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| 0.0106 | 0.1010 | 0.9789 | 3 |
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| 0.0080 | 0.1031 | 0.9771 | 4 |
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### Framework versions
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- Transformers 4.30.2
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- TensorFlow 2.12.0
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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