grow_classification_kcbert – AI Model by djifg | AlphaNeural AI

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djifg/
grow_classification_kcbert

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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grow_classification_kcbert

This model is a fine-tuned version of beomi/kcbert-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4473
Accuracy: 0.9307
F1: 0.9293

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: 3e-05
train_batch_size: 64
eval_batch_size: 64
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	Accuracy	F1
0.171	1.0	436	0.3674	0.9127	0.9113
0.0295	2.0	872	0.4799	0.9171	0.9150
0.0141	3.0	1308	0.4577	0.9285	0.9266
0.0087	4.0	1744	0.4352	0.9304	0.9291
0.0073	5.0	2180	0.4473	0.9307	0.9293

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3