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IndobertTypeNewsclassification – AI Model by rizalmilyardi | AlphaNeural AI
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rizalmilyardi
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IndobertTypeNewsclassification
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transformers
pytorch
bert
text-classification
generated_from_trainer
indolem/indobert-base-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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IndobertTypeNewsclassification
This model is a fine-tuned version of
indolem/indobert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2873
Accuracy: 0.9465
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: 8
eval_batch_size: 8
seed: 42
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
No log
1.0
383
0.2427
0.9360
0.2414
2.0
766
0.2399
0.9439
0.0951
3.0
1149
0.2873
0.9465
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
