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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- id_clickbait
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metrics:
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- accuracy
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model-index:
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- name: clickbait-classifier-20230408-002
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: id_clickbait
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type: id_clickbait
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config: annotated
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split: train
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args: annotated
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8025
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# clickbait-classifier-20230408-002
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the id_clickbait dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2628
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- Accuracy: 0.8025
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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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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.51 | 1.0 | 675 | 0.4566 | 0.7792 |
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| 0.419 | 2.0 | 1350 | 0.4388 | 0.7908 |
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| 0.2972 | 3.0 | 2025 | 0.5607 | 0.8017 |
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| 0.2428 | 4.0 | 2700 | 0.5913 | 0.7983 |
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| 0.2086 | 5.0 | 3375 | 0.8132 | 0.7883 |
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| 0.1564 | 6.0 | 4050 | 0.9334 | 0.7917 |
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| 0.1114 | 7.0 | 4725 | 1.0183 | 0.7975 |
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| 0.1023 | 8.0 | 5400 | 1.1756 | 0.8008 |
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| 0.0649 | 9.0 | 6075 | 1.2468 | 0.7975 |
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| 0.0465 | 10.0 | 6750 | 1.2628 | 0.8025 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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