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bert_model – AI Model by 420-kjh | AlphaNeural AI
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420-kjh
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bert_model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert_model
This model is a fine-tuned version of
beomi/kcbert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1668
Lrap: 0.8746
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Lrap
No log
1.0
235
0.1412
0.8757
No log
2.0
470
0.1527
0.8782
0.0385
3.0
705
0.1594
0.8756
0.0385
4.0
940
0.1625
0.8762
0.0188
5.0
1175
0.1668
0.8746
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0
