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nsmc-finetuned-bert – AI Model by taekkim | AlphaNeural AI
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taekkim
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nsmc-finetuned-bert
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
klue/bert-base
finetune
cc-by-sa-4.0
text-embeddings-inference
endpoints_compatible
us
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nsmc-finetuned-bert
This model is a fine-tuned version of
klue/bert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2391
Model Preparation Time: 0.003
Accuracy: 0.9030
F1: 0.9039
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: 64
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Accuracy
F1
0.2388
1.0
4688
0.2391
0.003
0.9030
0.9039
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
