This model is a fine-tuned version of ICT2214Team7/RoBERTa_Test_Training on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0019
Precision: 0.9919
Recall: 0.9959
F1: 0.9939
Accuracy: 0.9996

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	200	0.0142	0.9641	0.9797	0.9718	0.9958
No log	2.0	400	0.0033	0.9959	0.9959	0.9959	0.9989
0.0723	3.0	600	0.0015	0.9960	0.9980	0.9970	0.9998
0.0723	4.0	800	0.0019	0.9919	0.9959	0.9939	0.9996

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

ICT2214Team7/RoBERTa_Combined_Generated_epoch_4

RoBERTa_Combined_Generated_epoch_4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ICT2214Team7/
RoBERTa_Combined_Generated_epoch_4