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indobert-base-uncased-finetuned-indonlu-smsa – AI Model by andikamandalaa | AlphaNeural AI
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andikamandalaa
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indobert-base-uncased-finetuned-indonlu-smsa
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transformers
safetensors
bert
text-classification
generated_from_trainer
indonlu
indolem/indobert-base-uncased
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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indobert-base-uncased-finetuned-indonlu-smsa
This model is a fine-tuned version of
indolem/indobert-base-uncased
on the indonlu dataset. It achieves the following results on the evaluation set:
Loss: 0.2232
Accuracy: 0.9214
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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
344
0.6858
0.7063
0.8162
2.0
688
0.3510
0.8611
0.3579
3.0
1032
0.2232
0.9214
Framework versions
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1
