indonesian-emotion-distilbert-base-cased-finetuned
This model is a fine-tuned version of Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3309
- Accuracy: 0.9299
- Precision: 0.9299
- Recall: 0.9299
- F1: 0.9299
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: 1e-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
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2189 | 1.0 | 2747 | 0.2818 | 0.9179 | 0.9179 | 0.9179 | 0.9179 |
| 0.1878 | 2.0 | 5494 | 0.2642 | 0.9207 | 0.9207 | 0.9207 | 0.9207 |
| 0.1569 | 3.0 | 8241 | 0.2835 | 0.9273 | 0.9273 | 0.9273 | 0.9273 |
| 0.1379 | 4.0 | 10988 | 0.3153 | 0.9274 | 0.9274 | 0.9274 | 0.9274 |
| 0.1125 | 5.0 | 13735 | 0.3309 | 0.9299 | 0.9299 | 0.9299 | 0.9299 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2