This model is a fine-tuned version of aubmindlab/aragpt2-mega-detector-long on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 0.2251
Macro F1: 0.9002
Accuracy: 0.9041
Precision: 0.9040
Recall: 0.8972
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: 32
eval_batch_size: 64
seed: 123
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
