TC_model

This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5923
• Accuracy: 0.9405

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	85	0.6354	0.9167
No log	2.0	170	0.5542	0.9048
No log	3.0	255	0.4928	0.9405
No log	4.0	340	0.5524	0.9405
No log	5.0	425	0.5733	0.9405
0.0575	6.0	510	0.5815	0.9405
0.0575	7.0	595	0.5857	0.9405
0.0575	8.0	680	0.5896	0.9405
0.0575	9.0	765	0.5922	0.9405
0.0575	10.0	850	0.5923	0.9405

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2