Downloads · 30 days
22
3% of all-time downloads
indobert-lite-base-p1-indonli-distil-mdeberta
LazarusNLP/indobert-lite-base-p1-indonli-distil-mdeberta
indobert-lite-base-p1-indonli-distil-mdeberta is a text classification model from LazarusNLP. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
IndoBERT Lite Base IndoNLI Distil mDeBERTa is a natural language inference (NLI) model based on the ALBERT model. The model was originally the pre-trained indobenchmark/indobert-lite-base-p1 model, which is then fine-…
All-time downloads
704
Public
Parameters
11.7M
234 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors46.7 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- albert
- Access
- Public
- Created
- Jan 30, 2024
- Updated
- Jan 31, 2024
- SHA
- d7e8a562
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
IndoBERT Lite Base IndoNLI Distil mDeBERTa
IndoBERT Lite Base IndoNLI Distil mDeBERTa is a natural language inference (NLI) model based on the ALBERT model. The model was originally the pre-trained indobenchmark/indobert-lite-base-p1 model, which is then fine-tuned on IndoNLI's dataset consisting of Indonesian Wikipedia, news, and Web articles [1], whilst being distilled from MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7.
Evaluation Results
dev Acc. | test_lay Acc. | test_expert Acc. | |
|---|---|---|---|
IndoNLI | 77.19 | 74.42 | 61.22 |
Model
| Model | #params | Arch. | Training/Validation data (text) |
|---|---|---|---|
indobert-lite-base-p1-indonli-distil-mdeberta | 11.7M | ALBERT Base | IndoNLI |
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate:2e-05train_batch_size:16eval_batch_size:16seed:42optimizer: Adam withbetas=(0.9,0.999)andepsilon=1e-08lr_scheduler_type: linearnum_epochs:5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5053 | 1.0 | 646 | 0.4511 | 0.7506 | 0.7462 | 0.7530 | 0.7445 |
| 0.4516 | 2.0 | 1292 | 0.4458 | 0.7692 | 0.7683 | 0.7684 | 0.7697 |
| 0.4192 | 3.0 | 1938 | 0.4433 | 0.7701 | 0.7677 | 0.7685 | 0.7673 |
| 0.3647 | 4.0 | 2584 | 0.4497 | 0.7720 | 0.7699 | 0.7697 | 0.7701 |
| 0.3502 | 5.0 | 3230 | 0.4530 | 0.7679 | 0.7661 | 0.7658 | 0.7668 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
References
[1] Mahendra, R., Aji, A. F., Louvan, S., Rahman, F., & Vania, C. (2021, November). IndoNLI: A Natural Language Inference Dataset for Indonesian. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- mit
- Languages
- ind
- Created
- Jan 30, 2024
- Updated
- Jan 31, 2024