metadata
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: buburayam2024_p2_14_asli
results: []
buburayam2024_p2_14_asli
This model is a fine-tuned version of indolem/indobertweet-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3478
- F1 macro: 0.3466
- Weighted: 0.5394
- Balanced accuracy: 0.4857
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|---|---|---|---|---|---|---|
| 1.3473 | 1.0 | 93 | 1.4538 | 0.3261 | 0.5837 | 0.4352 |
| 0.9979 | 2.0 | 186 | 1.4648 | 0.3461 | 0.5112 | 0.4916 |
| 0.5325 | 3.0 | 279 | 1.8786 | 0.3325 | 0.5012 | 0.4817 |
| 0.2097 | 4.0 | 372 | 2.2614 | 0.3081 | 0.4708 | 0.4584 |
| 0.1208 | 5.0 | 465 | 2.0293 | 0.3620 | 0.5624 | 0.4896 |
| 0.0695 | 6.0 | 558 | 2.4287 | 0.3513 | 0.5322 | 0.4986 |
| 0.0129 | 7.0 | 651 | 2.3478 | 0.3466 | 0.5394 | 0.4857 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1