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ai.keepit – AI Model by nahyeonkang | AlphaNeural AI
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nahyeonkang
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ai.keepit
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
nsmc
beomi/kcbert-base
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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ai.keepit
This model is a fine-tuned version of
beomi/kcbert-base
on the nsmc dataset. It achieves the following results on the evaluation set:
Loss: 0.3046
Accuracy: 0.9020
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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2715
1.0
9375
0.2604
0.8957
0.2137
2.0
18750
0.2677
0.9003
0.1655
3.0
28125
0.3046
0.9020
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
