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indonesian_financial_sentiment_analysis – AI Model by intanm | AlphaNeural AI
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intanm
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indonesian_financial_sentiment_analysis
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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indonesian_financial_sentiment_analysis
This model is a fine-tuned version of
indobenchmark/indobert-base-p1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1788
Accuracy: 0.9560
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
102
0.1650
0.9396
No log
2.0
204
0.1788
0.9560
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
