IndoBERTL2-Rating-Prediction
This model is a fine-tuned version of indobenchmark/indobert-large-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7214
- F1: 0.3668
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1107 | 1.0 | 91 | 0.9732 | 0.2897 |
| 0.9599 | 2.0 | 182 | 0.7898 | 0.3321 |
| 0.466 | 3.0 | 273 | 0.7227 | 0.3712 |
| 0.4197 | 4.0 | 364 | 0.7252 | 0.3689 |
| 0.2964 | 5.0 | 455 | 0.7214 | 0.3668 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Model tree for dafqi/IndoBERTL2-Rating-Prediction
Base model
indobenchmark/indobert-large-p2