Downloads · 30 days
74
11% of all-time downloads
indonesian_hoax_classification_indobertweet_base_uncased
AptaArkana/indonesian_hoax_classification_indobertweet_base_uncased
indonesian_hoax_classification_indobertweet_base_uncased is a text classification model from AptaArkana. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
681
Public
Parameters
111M
57.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors442 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Jan 30, 2024
- SHA
- 8dc42e52
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
hoaxpemilu
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: 0.3001
- Accuracy: 0.9607
- Precision: 0.9585
- Recall: 0.9569
- F1: 0.9577
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2232 | 1.0 | 2593 | 0.2833 | 0.9368 | 0.9724 | 0.8894 | 0.9290 |
| 0.1317 | 2.0 | 5186 | 0.2334 | 0.9580 | 0.9482 | 0.9623 | 0.9552 |
| 0.0515 | 3.0 | 7779 | 0.2747 | 0.9512 | 0.9663 | 0.9275 | 0.9465 |
| 0.0236 | 4.0 | 10372 | 0.3100 | 0.9587 | 0.9583 | 0.9528 | 0.9555 |
| 0.0089 | 5.0 | 12965 | 0.3001 | 0.9607 | 0.9585 | 0.9569 | 0.9577 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 26, 2024
- Updated
- Jan 30, 2024