en-phishing-email-mapped-longformer
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2154
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: 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 |
|---|---|---|---|
| 0.234 | 1.0 | 478 | 0.2387 |
| 0.2109 | 2.0 | 956 | 0.2105 |
| 0.2033 | 3.0 | 1434 | 0.2386 |
| 0.1974 | 4.0 | 1912 | 0.1948 |
| 0.1748 | 5.0 | 2390 | 0.2154 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for malecada/en-phishing-email-mapped-longformer
Base model
allenai/longformer-base-4096