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sample_hf_trainer – AI Model by jungnerd | AlphaNeural AI
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jungnerd
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sample_hf_trainer
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
monologg/kobert
finetune
autotrain_compatible
endpoints_compatible
us
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sample_hf_trainer
This model is a fine-tuned version of
monologg/kobert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6802
Accuracy: 0.5938
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: 16
eval_batch_size: 16
seed: 224
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7328
1.0
8
0.6784
0.5938
0.6823
2.0
16
0.6814
0.5938
0.6617
3.0
24
0.6802
0.5938
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
