sentiment-pt-pl20-2
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3072
- Accuracy: 0.8872
- Precision: 0.8634
- Recall: 0.8652
- F1: 0.8643
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-05
- train_batch_size: 30
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
0.5414 | 1.0 | 122 | 0.5076 | 0.7118 | 0.6352 | 0.5986 | 0.6042 |
0.4441 | 2.0 | 244 | 0.4079 | 0.7945 | 0.7579 | 0.7896 | 0.7679 |
0.3541 | 3.0 | 366 | 0.3338 | 0.8496 | 0.8289 | 0.7961 | 0.8096 |
0.3048 | 4.0 | 488 | 0.3370 | 0.8596 | 0.8316 | 0.8282 | 0.8298 |
0.2849 | 5.0 | 610 | 0.3066 | 0.8622 | 0.8373 | 0.8250 | 0.8307 |
0.2581 | 6.0 | 732 | 0.2884 | 0.8772 | 0.8547 | 0.8456 | 0.8500 |
0.2486 | 7.0 | 854 | 0.2819 | 0.8797 | 0.8539 | 0.8574 | 0.8556 |
0.2303 | 8.0 | 976 | 0.2881 | 0.8822 | 0.8715 | 0.8367 | 0.8513 |
0.2167 | 9.0 | 1098 | 0.2772 | 0.8822 | 0.8639 | 0.8467 | 0.8545 |
0.1948 | 10.0 | 1220 | 0.3049 | 0.8822 | 0.8674 | 0.8417 | 0.8529 |
0.1901 | 11.0 | 1342 | 0.2994 | 0.8847 | 0.8697 | 0.8459 | 0.8565 |
0.1911 | 12.0 | 1464 | 0.2923 | 0.8847 | 0.8648 | 0.8534 | 0.8588 |
0.1683 | 13.0 | 1586 | 0.2878 | 0.8922 | 0.8719 | 0.8662 | 0.8690 |
0.1711 | 14.0 | 1708 | 0.3060 | 0.8897 | 0.8618 | 0.8820 | 0.8707 |
0.1627 | 15.0 | 1830 | 0.2843 | 0.8997 | 0.8778 | 0.8816 | 0.8797 |
0.1561 | 16.0 | 1952 | 0.2887 | 0.8922 | 0.8694 | 0.8712 | 0.8703 |
0.147 | 17.0 | 2074 | 0.3024 | 0.8947 | 0.8730 | 0.8730 | 0.8730 |
0.1358 | 18.0 | 2196 | 0.3073 | 0.8897 | 0.8659 | 0.8695 | 0.8676 |
0.1506 | 19.0 | 2318 | 0.3115 | 0.8897 | 0.8695 | 0.8620 | 0.8656 |
0.151 | 20.0 | 2440 | 0.3072 | 0.8872 | 0.8634 | 0.8652 | 0.8643 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
Model tree for apwic/sentiment-pt-pl20-2
Base model
indolem/indobert-base-uncased