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DLthon_BERT_3 – AI Model by jhkim12 | AlphaNeural AI
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jhkim12
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DLthon_BERT_3
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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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DLthon_BERT_3
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: 0.0562
F1: 0.9905
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
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
F1
No log
1.0
178
0.3384
0.8918
No log
2.0
356
0.2190
0.9425
0.4141
3.0
534
0.0874
0.9748
0.4141
4.0
712
0.0634
0.9858
0.4141
5.0
890
0.0562
0.9905
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1
