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model_output – AI Model by youngkook98 | AlphaNeural AI | AlphaNeural AI
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model_output
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transformers
safetensors
bert
text-classification
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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model_output
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: 0.1280
Lrap: 0.8822
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: 128
eval_batch_size: 128
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Lrap
No log
1.0
118
0.1795
0.8298
No log
2.0
236
0.1418
0.8679
No log
3.0
354
0.1306
0.8777
No log
4.0
472
0.1285
0.8811
0.1604
5.0
590
0.1280
0.8822
Framework versions
Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
