TC_model – AI Model by wgj0714 | AlphaNeural AI | AlphaNeural AI

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wgj0714/
TC_model

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text-classification

generated_from_trainer

klue/roberta-large

autotrain_compatible

endpoints_compatible

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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