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my_unsmile – AI Model by heado | AlphaNeural AI
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heado
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my_unsmile
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transformers
safetensors
bert
text-classification
HHD
10_classes
generated_from_trainer
beomi/kcbert-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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Model card
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my_unsmile
This model is a fine-tuned version of
beomi/kcbert-base
on the unsmile dataset. It achieves the following results on the evaluation set:
Loss: 0.1627
Lrap: 0.8610
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Lrap
No log
1.0
118
0.1877
0.8363
No log
2.0
236
0.1627
0.8610
Framework versions
Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
