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kcELECTRA-interview-sentiment-3class – AI Model by aetin | AlphaNeural AI
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kcELECTRA-interview-sentiment-3class
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safetensors
electra
generated_from_trainer
beomi/KcELECTRA-base-v2022
finetune
mit
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kcELECTRA-interview-sentiment-3class
This model is a fine-tuned version of
beomi/KcELECTRA-base-v2022
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8481
Accuracy: 0.8339
Macro F1: 0.7945
Weighted F1: 0.8394
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
Weighted F1
0.2666
1.0
999
0.6992
0.8250
0.7866
0.8311
0.0867
2.0
1998
0.6471
0.8406
0.7989
0.8448
0.0447
3.0
2997
0.8481
0.8339
0.7945
0.8394
Framework versions
Transformers 4.40.2
Pytorch 2.8.0+cu128
Datasets 2.19.0
Tokenizers 0.19.1