metadata
library_name: transformers
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ai-detect-2
results: []
ai-detect-2
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: 0.6213
- Accuracy: 0.9234
- Precision: 0.8980
- Recall: 0.9901
- F1: 0.9418
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1356 | 1.0 | 6250 | 0.2998 | 0.9344 | 0.9132 | 0.9891 | 0.9497 |
| 0.0932 | 2.0 | 12500 | 0.5421 | 0.9052 | 0.8764 | 0.9879 | 0.9288 |
| 0.0019 | 3.0 | 18750 | 0.3828 | 0.9338 | 0.9118 | 0.9899 | 0.9493 |
| 0.0678 | 4.0 | 25000 | 0.2624 | 0.953 | 0.9384 | 0.9899 | 0.9635 |
| 0.0006 | 5.0 | 31250 | 0.5998 | 0.9083 | 0.8760 | 0.9942 | 0.9314 |
| 0.0002 | 6.0 | 37500 | 0.4959 | 0.9384 | 0.9183 | 0.9896 | 0.9526 |
| 0.0371 | 7.0 | 43750 | 0.6213 | 0.9234 | 0.8980 | 0.9901 | 0.9418 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1