Fake-News-Detection
Collection
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Updated
fake-news-detector-long
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0021
- Accuracy: 0.9998
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0 | 1.0 | 8418 | 0.0021 | 0.9998 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1
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Model tree for AlexanderHolmes0/fake-news-detector-long
Base model
allenai/longformer-base-4096