language: id
license: mit
tags:
- indonesian-roberta-base-indonli
datasets:
- indonli
widget:
- text: Andi tersenyum karena mendapat hasil baik. </s></s> Andi sedih.
model-index:
- name: w11wo/indonesian-roberta-base-indonli
results:
- task:
type: natural-language-inference
name: Natural Language Inference
dataset:
name: indonli
type: indonli
config: indonli
split: test_expert
metrics:
- type: accuracy
value: 0.6072386058981233
name: Accuracy
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzY4NDkwNTdlYjI4MzY3ZTk3NmZjYjA1MjE2YWQ5MjJjMGM3NTc1NWVjODQzNTc1ZTYyZWVmYmY5NTI3NWY1ZSIsInZlcnNpb24iOjF9.Aeo_Id90j2JtyApv3LvJHkQtHz-9wO4SNvTdb8O_pp0KFQGfWXnkgX2t2hafIUxSKmZbETIte-FaPbZ9AGZSDA
- type: precision
value: 0.6304330508019023
name: Precision Macro
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2I3Y2RkNjU0NzlkYmJiNWYyZjZhNzIzZGE5ODU4NzYxYmQ0NTYxYzZkM2JiNTQwZTdkMmYxOTRmMDlmOGFkMiIsInZlcnNpb24iOjF9.iEt7Mq6a3TubFQfdC3OAxAiZDXp0bPGhN9JPzSfKl89_dxnKzDp0IrVzkt1HNLHR_S22Q75Tevqh3_G8Pp05Dg
- type: precision
value: 0.6072386058981233
name: Precision Micro
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmI4ZmEwOTY0NTViNTM1ZjcwY2E2ODRmNGJiMTg2ZDJmZTgyNGUxM2UwNjZjYzVmYTcxZGY4OGY3OTI4MzcyMSIsInZlcnNpb24iOjF9.Jn1OPD1ZxkblCqKT1CfeUYOt5Xb6CL6C2ZENLmvfYNzh-p0oHcIBgapfbCHc89oMSR-FhjQk_ME8f8A3eyy6CA
- type: precision
value: 0.6320495884503851
name: Precision Weighted
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWU1NmI5MTk3ODY4Y2M5ZjYyNzMwZjRlZTAzNjFmNmUxNzgxYjVhODNjZDAwOTQyNDBlZDJkNDYyNzRlYzBmOSIsInZlcnNpb24iOjF9.ItCi8SouqOtM3P7c0KN5ifRpGOr1090aqo4zX4aVSlVOTq0iQj9_c3z0B_UAzFcr0qW7ObnvuiD8D5d-9EzkBg
- type: recall
value: 0.6127303344145852
name: Recall Macro
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTZmMGEzMGZjYTI2MzA0OGQ1Nzk5ZDRmNDNhMTRhOGMyM2I4Zjc2NzMzNmM2NjQ0YzVjZDY1Mzk1ZWI5Zjg2NiIsInZlcnNpb24iOjF9.fWCCNatB50nCptCbXopRjwxbWic6BvWIG6frUo_iXJVFXsi3Q_ik91_70fLgZc9NfhIpewpNoe4ETn0Gmps4Cw
- type: recall
value: 0.6072386058981233
name: Recall Micro
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGMwOWVmOWU4YzM2ZjMyY2NjNjljMDdjZTZmMjU5MjRiNDU0NmVhYWEzZmQ5MzUzMmRhMjdmZjhkNDU4ZTM2ZCIsInZlcnNpb24iOjF9.Sy2c29OhxT-x4UBSr9G7rfwtyqzYOX4KNRe2blonfOdKrqSfSEORY01Y67WweDiKdRvbECzI-DemJUXVtx-QCg
- type: recall
value: 0.6072386058981233
name: Recall Weighted
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODgwODAwMDNkZWJlMzYyYmQwYzNmMGZiMzhjZjVjNGYyMTg3OWVjNjZmMzFhMDczNGEyMDAyODkwZTZhZWM4NSIsInZlcnNpb24iOjF9.8IxdbjDQHzcNW71RAMtKHzlviweLTQvYVQ4JlrqoZsV-8gyzxpyYOmDjUm3n6uQNfRLRpyvsT-E8ysLHPyMqDg
- type: f1
value: 0.6010566054103847
name: F1 Macro
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmMwMjg2YjZmYzMzYzlmNTk3OGIyMDc5NGUxNTFlNmNkNmU3MzU2ZWMyZjY0OGFhYmY5YTUyNDkxNjJiODIwNSIsInZlcnNpb24iOjF9.r1ylajrOC-Qu4QNdNnXzisjGlczTF_9tYpNEr8LYdTtdmJtRjNtNmElINneuaWX7XGN9TExdzmg7OWTwutjsAg
- type: f1
value: 0.6072386058981233
name: F1 Micro
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDdhMGU1NDNjMzgxN2NjNWYzNTk5OWY5OTZhZWRjOGZkNjI4ZDA1YjI5ZWYxOWNmNDc4NmVhNjllMjUyMTFkMSIsInZlcnNpb24iOjF9.5G1km-a2_ssO_b3WTD8Ools29e6h8X8rjpClFN5Q_I4ADbPxKI2QbCfd5vl89CMHclignQ1_H6vqYbdTL9usDQ
- type: f1
value: 0.5995456855334425
name: F1 Weighted
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjYyNTZjOTUzNmMxOTY3MzQzNjMxZGNhYTY3NTQ4Mjg3NWRlMjc2NmY1NjMxOWY0NTFiODlhZjA3ZTEzNGQ3MSIsInZlcnNpb24iOjF9.3iTI9IieFa3WJFr7ovDvO24IPScGB7WQk3Pw_Qxh32zKx5QyOwmZf_p2bgbEG6hBeCkR0KaMDvIiZXnbW6DBDQ
- type: loss
value: 1.157181739807129
name: loss
verified: true
verifyToken: >-
eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmIxNTQyYWRkMjgxMTZkN2JhZTg5NDFiMDRlZGEzOGE5ZDIwYTE5NTU4YmU0NDUxOTE1MDQwMzFlMjQ5MDQ2YSIsInZlcnNpb24iOjF9.M-U6Dp-I-DEXZ3qSGLxYrCdQjgXi6DotHDgz1acjWnHIZWKPApy-n2194FZik1Tpv2AcJVe45tDRLxNSW3zVBg
Indonesian RoBERTa Base IndoNLI
Indonesian RoBERTa Base IndoNLI is a natural language inference (NLI) model based on the RoBERTa model. The model was originally the pre-trained Indonesian RoBERTa Base model, which is then fine-tuned on IndoNLI's dataset consisting of Indonesian Wikipedia, news, and Web articles [1].
After training, the model achieved an evaluation/dev accuracy of 77.06%. On the benchmark test_lay subset, the model achieved an accuracy of 74.24% and on the benchmark test_expert subset, the model achieved an accuracy of 61.66%.
Hugging Face's Trainer class from the Transformers library was used to train the model. PyTorch was used as the backend framework during training, but the model remains compatible with other frameworks nonetheless.
Model
| Model | #params | Arch. | Training/Validation data (text) |
|---|---|---|---|
indonesian-roberta-base-indonli |
124M | RoBERTa Base | IndoNLI |
Evaluation Results
The model was trained for 5 epochs, with a batch size of 16, a learning rate of 2e-5, a weight decay of 0.1, and a warmup ratio of 0.2, with linear annealing to 0. The best model was loaded at the end.
| Epoch | Training Loss | Validation Loss | Accuracy |
|---|---|---|---|
| 1 | 0.989200 | 0.691663 | 0.731452 |
| 2 | 0.673000 | 0.621913 | 0.766045 |
| 3 | 0.449900 | 0.662543 | 0.770596 |
| 4 | 0.293600 | 0.777059 | 0.768320 |
| 5 | 0.194200 | 0.948068 | 0.764224 |
How to Use
As NLI Classifier
from transformers import pipeline
pretrained_name = "w11wo/indonesian-roberta-base-indonli"
nlp = pipeline(
"sentiment-analysis",
model=pretrained_name,
tokenizer=pretrained_name
)
nlp("Andi tersenyum karena mendapat hasil baik. </s></s> Andi sedih.")
Disclaimer
Do consider the biases which come from both the pre-trained RoBERTa model and the IndoNLI dataset that may be carried over into the results of this model.
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.
Author
Indonesian RoBERTa Base IndoNLI was trained and evaluated by Wilson Wongso. All computation and development are done on Google Colaboratory using their free GPU access.