This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 3.8189
Accuracy: 0.263
Precision: 0.2245
Recall: 0.2050
F1: 0.1500
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
