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20230428-001-baseline-mbert-clickbait-spoiling
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.9788
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 |
---|---|---|---|
No log | 1.0 | 98 | 3.2705 |
No log | 2.0 | 196 | 3.0739 |
No log | 3.0 | 294 | 3.3114 |
No log | 4.0 | 392 | 3.5677 |
No log | 5.0 | 490 | 4.0451 |
2.4171 | 6.0 | 588 | 4.4142 |
2.4171 | 7.0 | 686 | 4.6296 |
2.4171 | 8.0 | 784 | 4.7553 |
2.4171 | 9.0 | 882 | 4.9954 |
2.4171 | 10.0 | 980 | 4.9788 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3