sentiment-unipelt-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: 0.3423
- Accuracy: 0.8922
- Precision: 0.8749
- Recall: 0.8612
- F1: 0.8676
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 |
---|---|---|---|---|---|---|---|
0.5459 | 1.0 | 122 | 0.5022 | 0.7243 | 0.6616 | 0.6474 | 0.6529 |
0.4447 | 2.0 | 244 | 0.4753 | 0.7694 | 0.7557 | 0.8069 | 0.7549 |
0.3589 | 3.0 | 366 | 0.3433 | 0.8571 | 0.8440 | 0.7989 | 0.8164 |
0.3034 | 4.0 | 488 | 0.3063 | 0.8697 | 0.8520 | 0.8253 | 0.8368 |
0.2691 | 5.0 | 610 | 0.3038 | 0.8622 | 0.8342 | 0.8325 | 0.8333 |
0.2555 | 6.0 | 732 | 0.3117 | 0.8521 | 0.8186 | 0.8454 | 0.8293 |
0.2429 | 7.0 | 854 | 0.3002 | 0.8546 | 0.8217 | 0.8397 | 0.8296 |
0.223 | 8.0 | 976 | 0.2853 | 0.8822 | 0.8596 | 0.8542 | 0.8568 |
0.2089 | 9.0 | 1098 | 0.2856 | 0.8672 | 0.8436 | 0.8310 | 0.8369 |
0.1959 | 10.0 | 1220 | 0.2882 | 0.8847 | 0.8679 | 0.8484 | 0.8573 |
0.1804 | 11.0 | 1342 | 0.2876 | 0.8797 | 0.8560 | 0.8524 | 0.8541 |
0.1659 | 12.0 | 1464 | 0.3127 | 0.8697 | 0.8503 | 0.8278 | 0.8377 |
0.1591 | 13.0 | 1586 | 0.3219 | 0.8747 | 0.8568 | 0.8338 | 0.8440 |
0.1585 | 14.0 | 1708 | 0.3209 | 0.8947 | 0.8690 | 0.8830 | 0.8755 |
0.1512 | 15.0 | 1830 | 0.3213 | 0.8847 | 0.8663 | 0.8509 | 0.8580 |
0.14 | 16.0 | 1952 | 0.3231 | 0.8897 | 0.8649 | 0.8720 | 0.8683 |
0.1255 | 17.0 | 2074 | 0.3452 | 0.8897 | 0.8743 | 0.8545 | 0.8635 |
0.1296 | 18.0 | 2196 | 0.3402 | 0.8922 | 0.8749 | 0.8612 | 0.8676 |
0.1254 | 19.0 | 2318 | 0.3436 | 0.8922 | 0.8749 | 0.8612 | 0.8676 |
0.128 | 20.0 | 2440 | 0.3423 | 0.8922 | 0.8749 | 0.8612 | 0.8676 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
Model tree for apwic/sentiment-unipelt-2
Base model
indolem/indobert-base-uncased