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multilingual_indonesian_SEQUENCE_classification_model – AI Model by Cabooose | AlphaNeural AI
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multilingual_indonesian_SEQUENCE_classification_model
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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multilingual_indonesian_SEQUENCE_classification_model
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3859
Precision: 0.8622
Recall: 0.9012
F1: 0.8812
Accuracy: 0.8783
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: 5e-05
train_batch_size: 16
eval_batch_size: 8
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
Precision
Recall
F1
Accuracy
0.3508
1.0
713
0.2991
0.8578
0.8794
0.8685
0.8665
0.2657
2.0
1426
0.3859
0.8622
0.9012
0.8812
0.8783
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
