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: 0.0010
Precision: 0.9980
Recall: 0.9980
F1: 0.9980
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	200	0.0093	0.9699	0.9817	0.9758	0.9975
No log	2.0	400	0.0033	0.9919	0.9939	0.9929	0.9993
0.0807	3.0	600	0.0028	0.9919	0.9939	0.9929	0.9991
0.0807	4.0	800	0.0010	0.9919	0.9959	0.9939	0.9996
0.0032	5.0	1000	0.0010	0.9980	0.9980	0.9980	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_5

RoBERTa_Combined_Generated_epoch_5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ICT2214Team7/
RoBERTa_Combined_Generated_epoch_5