RoBERTa_Combined_Generated_epoch_8

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: 0.0001
• Precision: 1.0
• Recall: 1.0
• F1: 1.0
• Accuracy: 1.0

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	200	0.0071	0.9859	0.9899	0.9879	0.9984
No log	2.0	400	0.0022	0.9939	0.9939	0.9939	0.9993
0.0735	3.0	600	0.0009	1.0	1.0	1.0	1.0
0.0735	4.0	800	0.0003	1.0	1.0	1.0	1.0
0.0024	5.0	1000	0.0002	1.0	1.0	1.0	1.0
0.0024	6.0	1200	0.0001	1.0	1.0	1.0	1.0
0.0024	7.0	1400	0.0001	1.0	1.0	1.0	1.0
0.0007	8.0	1600	0.0001	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1