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