longformer-epidemiology-1epoch-test
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: 0.6930
- Accuracy: 0.508
- F1: 0.3369
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7145 | 0.2667 | 100 | 0.6931 | 0.508 | 0.3369 |
| 0.6979 | 0.5333 | 200 | 0.6940 | 0.492 | 0.3298 |
| 0.6966 | 0.8 | 300 | 0.6930 | 0.508 | 0.3369 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1
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Model tree for Howard881010/longformer-epidemiology-1epoch-test
Base model
allenai/longformer-base-4096