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krfinbert-jongtobang – AI Model by clare25 | AlphaNeural AI
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krfinbert-jongtobang
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transformers
safetensors
bert
text-classification
generated_from_trainer
snunlp/KR-FinBert-SC
finetune
text-embeddings-inference
endpoints_compatible
us
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krfinbert-jongtobang
This model is a fine-tuned version of
snunlp/KR-FinBert-SC
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5789
Accuracy: 0.8096
F1 Macro: 0.8091
F1 Binary: 0.7992
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: 64
eval_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.06
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
F1 Binary
0.1328
3.0769
200
0.5789
0.8096
0.8091
0.7992
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
