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: 0.0005
Precision: 0.9960
Recall: 0.9980
F1: 0.9970
Accuracy: 0.9998

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	200	0.0052	0.9759	0.9858	0.9808	0.9984
No log	2.0	400	0.0028	0.9939	0.9939	0.9939	0.9993
0.073	3.0	600	0.0020	0.9939	0.9939	0.9939	0.9993
0.073	4.0	800	0.0005	1.0	1.0	1.0	1.0
0.0027	5.0	1000	0.0010	0.9980	0.9980	0.9980	0.9996
0.0027	6.0	1200	0.0005	0.9960	0.9980	0.9970	0.9998

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

ICT2214Team7/RoBERTa_Combined_Generated_epoch_6

RoBERTa_Combined_Generated_epoch_6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ICT2214Team7/
RoBERTa_Combined_Generated_epoch_6