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IndobertTopicClassify02 – AI Model by rizalmilyardi | AlphaNeural AI
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rizalmilyardi
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IndobertTopicClassify02
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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IndobertTopicClassify02
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: 0.7167
Accuracy: 0.8175
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
100
2.0074
0.4875
No log
2.0
200
1.1501
0.6975
No log
3.0
300
0.8570
0.7825
No log
4.0
400
0.7629
0.8075
1.195
5.0
500
0.7194
0.8175
1.195
6.0
600
0.7167
0.8175
Framework versions
Transformers 4.28.0
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.13.3
