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kobert-base-v1-finetuned – AI Model by yoonlee | AlphaNeural AI
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yoonlee
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kobert-base-v1-finetuned
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transformers
pytorch
bert
text-classification
generated_from_trainer
skt/kobert-base-v1
finetune
autotrain_compatible
endpoints_compatible
us
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kobert-base-v1-finetuned
This model is a fine-tuned version of
skt/kobert-base-v1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0882
Accuracy: 0.9695
F1: 0.9696
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-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
250
0.0830
0.97
0.9699
No log
2.0
500
0.0882
0.9695
0.9696
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
