0322_cosmetic3_kcelectra – AI Model by BKforKorea | AlphaNeural AI

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BKforKorea/
0322_cosmetic3_kcelectra

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text-classification

generated_from_trainer

beomi/KcELECTRA-base

autotrain_compatible

endpoints_compatible

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0322_cosmetic3_kcelectra

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

Loss: 0.3637
Accuracy: 0.8700
F1: 0.8703
Precision: 0.8789
Recall: 0.8700

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
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4536	1.0	277	0.3556	0.8768	0.8734	0.8873	0.8768
0.2608	2.0	554	0.5060	0.8261	0.8252	0.8415	0.8261
0.1171	3.0	831	0.5406	0.8623	0.8571	0.8768	0.8623
0.1393	4.0	1108	0.5734	0.8768	0.8752	0.8862	0.8768
0.2115	5.0	1385	0.6661	0.8913	0.8915	0.8924	0.8913
0.0939	6.0	1662	0.5506	0.9058	0.9054	0.9057	0.9058
0.1122	7.0	1939	0.6672	0.8986	0.8985	0.8987	0.8986
0.2413	8.0	2216	0.7136	0.8949	0.8949	0.8950	0.8949
0.001	9.0	2493	0.6689	0.9058	0.9058	0.9058	0.9058
0.0013	10.0	2770	0.6764	0.9094	0.9094	0.9094	0.9094

Framework versions

Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2