sentiment-unipelt-4
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: 0.2986
- Accuracy: 0.8772
- Precision: 0.8561
- Recall: 0.8431
- F1: 0.8492
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 |
---|---|---|---|---|---|---|---|
0.552 | 1.0 | 122 | 0.5144 | 0.7293 | 0.6759 | 0.6810 | 0.6782 |
0.4663 | 2.0 | 244 | 0.4076 | 0.8170 | 0.8013 | 0.7330 | 0.7540 |
0.37 | 3.0 | 366 | 0.3749 | 0.8346 | 0.8484 | 0.7405 | 0.7687 |
0.3284 | 4.0 | 488 | 0.3257 | 0.8571 | 0.8273 | 0.8289 | 0.8281 |
0.3035 | 5.0 | 610 | 0.3099 | 0.8546 | 0.8246 | 0.8246 | 0.8246 |
0.2705 | 6.0 | 732 | 0.2940 | 0.8697 | 0.8474 | 0.8328 | 0.8395 |
0.2439 | 7.0 | 854 | 0.2855 | 0.8697 | 0.8488 | 0.8303 | 0.8386 |
0.2232 | 8.0 | 976 | 0.3066 | 0.8722 | 0.8528 | 0.8321 | 0.8413 |
0.2142 | 9.0 | 1098 | 0.2912 | 0.8747 | 0.8625 | 0.8263 | 0.8413 |
0.2009 | 10.0 | 1220 | 0.2746 | 0.8546 | 0.8254 | 0.8221 | 0.8238 |
0.1825 | 11.0 | 1342 | 0.2736 | 0.8647 | 0.8359 | 0.8392 | 0.8376 |
0.1717 | 12.0 | 1464 | 0.2938 | 0.8622 | 0.8399 | 0.8200 | 0.8289 |
0.1634 | 13.0 | 1586 | 0.2855 | 0.8747 | 0.8457 | 0.8588 | 0.8517 |
0.158 | 14.0 | 1708 | 0.2812 | 0.8772 | 0.8514 | 0.8531 | 0.8522 |
0.1528 | 15.0 | 1830 | 0.2863 | 0.8747 | 0.8479 | 0.8513 | 0.8496 |
0.1486 | 16.0 | 1952 | 0.2951 | 0.8722 | 0.8512 | 0.8346 | 0.8422 |
0.1455 | 17.0 | 2074 | 0.2931 | 0.8822 | 0.8596 | 0.8542 | 0.8568 |
0.1318 | 18.0 | 2196 | 0.2960 | 0.8772 | 0.8535 | 0.8481 | 0.8507 |
0.1287 | 19.0 | 2318 | 0.2975 | 0.8772 | 0.8561 | 0.8431 | 0.8492 |
0.1243 | 20.0 | 2440 | 0.2986 | 0.8772 | 0.8561 | 0.8431 | 0.8492 |
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-4
Base model
indolem/indobert-base-uncased