FakeNews-bert-base-cased-emoji
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1913
- Accuracy: 0.9570
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.3272 | 1.0 | 803 | 0.3289 | 0.9346 |
0.1304 | 2.0 | 1606 | 0.1913 | 0.9570 |
0.0628 | 3.0 | 2409 | 0.2507 | 0.9593 |
0.0342 | 4.0 | 3212 | 0.2306 | 0.9598 |
0.0104 | 5.0 | 4015 | 0.2265 | 0.9659 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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