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skt-bert – AI Model by dljh1214 | AlphaNeural AI
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dljh1214
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skt-bert
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
skt/kobert-base-v1
finetune
autotrain_compatible
endpoints_compatible
us
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Model card
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skt-bert
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: 1.1823
Accuracy: 0.5493
F1: 0.5403
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
483
1.2325
0.5348
0.5259
No log
2.0
966
1.1823
0.5493
0.5403
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
