indo_sentiment_indobertweet
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: 0.1360
- Accuracy: 0.9655
- Precision: 0.9634
- Recall: 0.9619
- F1: 0.9626
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
0.1835 | 1.0 | 124 | 0.1039 | 0.9602 | 0.9531 | 0.9625 | 0.9574 |
0.0639 | 2.0 | 248 | 0.1094 | 0.9638 | 0.9589 | 0.9632 | 0.9609 |
0.0176 | 3.0 | 372 | 0.1360 | 0.9655 | 0.9634 | 0.9619 | 0.9626 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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