cf-longformer-finetuned
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: 0.4280
- F1: 0.5935
- Roc Auc: 0.7197
- Accuracy: 0.3310
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.5337 | 1.0 | 434 | 0.5386 | 0.1456 | 0.5356 | 0.0393 |
| 0.4626 | 2.0 | 868 | 0.4759 | 0.4474 | 0.6388 | 0.1778 |
| 0.3962 | 3.0 | 1302 | 0.4360 | 0.5667 | 0.7017 | 0.3164 |
| 0.3434 | 4.0 | 1736 | 0.4171 | 0.5944 | 0.7188 | 0.3349 |
| 0.3921 | 5.0 | 2170 | 0.4193 | 0.6111 | 0.7293 | 0.3453 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1