cf-longformer-finetuned1
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: 0.3016
- F1: 0.6313
- Roc Auc: 0.7567
- Accuracy: 0.3270
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 |
|---|---|---|---|---|---|---|
| 0.3958 | 1.0 | 447 | 0.3931 | 0.3794 | 0.6161 | 0.1254 |
| 0.3301 | 2.0 | 894 | 0.3383 | 0.5455 | 0.6982 | 0.2620 |
| 0.3122 | 3.0 | 1341 | 0.3210 | 0.5991 | 0.7325 | 0.2979 |
| 0.255 | 4.0 | 1788 | 0.3203 | 0.6085 | 0.7407 | 0.2979 |
| 0.2459 | 5.0 | 2235 | 0.3175 | 0.6142 | 0.7452 | 0.3113 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1