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results_jp – AI Model by Yun0s8eong | AlphaNeural AI
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results_jp
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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results_jp
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: 0.2014
Accuracy: 0.9522
F1: 0.9520
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
118
0.1792
0.9330
0.9329
No log
2.0
236
0.1782
0.9474
0.9472
No log
3.0
354
0.2014
0.9522
0.9520
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
