metadata
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: nasiuduk2024_indobtwt_7_u_o
results: []
nasiuduk2024_indobtwt_7_u_o
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: 2.5305
- F1 macro: 0.3802
- Weighted: 0.5879
- Balanced accuracy: 0.5179
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 |
|---|---|---|---|---|---|---|
| 1.4191 | 1.0 | 162 | 1.3702 | 0.3358 | 0.5319 | 0.4757 |
| 0.6762 | 2.0 | 324 | 1.3777 | 0.3590 | 0.5807 | 0.4857 |
| 0.4675 | 3.0 | 486 | 1.5368 | 0.4526 | 0.5879 | 0.5707 |
| 0.1559 | 4.0 | 648 | 2.3060 | 0.3595 | 0.5416 | 0.4922 |
| 0.0104 | 5.0 | 810 | 2.2064 | 0.3881 | 0.6050 | 0.5170 |
| 0.0076 | 6.0 | 972 | 2.4857 | 0.3849 | 0.5892 | 0.5210 |
| 0.0025 | 7.0 | 1134 | 2.5305 | 0.3802 | 0.5879 | 0.5179 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1