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model_output – AI Model by pongDang | AlphaNeural AI
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model_output
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transformers
tensorboard
safetensors
bert
text-classification
gjg
categorical
multi_label
10_class
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
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: 0.1306
Lrap: 0.8798
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: 64
eval_batch_size: 64
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
235
0.1466
0.8608
No log
2.0
470
0.1288
0.8711
0.1708
3.0
705
0.1236
0.8819
0.1708
4.0
940
0.1303
0.8788
0.0776
5.0
1175
0.1306
0.8798
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
