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model_output – AI Model by Juhyang | AlphaNeural AI | AlphaNeural AI
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model_output
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tensorboard
safetensors
bert
10_class
multi_labels
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
us
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model_output
This model is a fine-tuned version of
beomi/kcbert-base
on the unsmile_data dataset. It achieves the following results on the evaluation set:
Loss: 0.1635
Lrap: 0.8742
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: 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
Lrap
No log
1.0
469
0.1455
0.8614
0.0626
2.0
938
0.1446
0.8721
0.0512
3.0
1407
0.1507
0.8761
0.0322
4.0
1876
0.1614
0.8747
0.0204
5.0
2345
0.1635
0.8742
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
