Instructions to use nahiar/xlm-roberta-indonesian-languages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahiar/xlm-roberta-indonesian-languages with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nahiar/xlm-roberta-indonesian-languages")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nahiar/xlm-roberta-indonesian-languages") model = AutoModelForSequenceClassification.from_pretrained("nahiar/xlm-roberta-indonesian-languages") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 0.10183455049991608, | |
| "eval_accuracy": 0.9783333333333334, | |
| "eval_f1_macro": 0.9783390683167791, | |
| "eval_f1_weighted": 0.9783390683167791, | |
| "eval_precision_macro": 0.9785385468894364, | |
| "eval_recall_macro": 0.9783333333333334, | |
| "eval_mcc": 0.976381388913914, | |
| "eval_f1_indonesian": 0.9900990099009901, | |
| "eval_f1_acehnese": 1.0, | |
| "eval_f1_balinese": 0.945273631840796, | |
| "eval_f1_banjarese": 0.9705882352941176, | |
| "eval_f1_buginese": 0.98989898989899, | |
| "eval_f1_javanese": 0.9552238805970149, | |
| "eval_f1_madurese": 0.98989898989899, | |
| "eval_f1_minangkabau": 0.9797979797979798, | |
| "eval_f1_ngaju": 0.9900990099009901, | |
| "eval_f1_sundanese": 0.9543147208121827, | |
| "eval_f1_toba_batak": 0.9748743718592965, | |
| "eval_f1_english": 1.0, | |
| "eval_avg_confidence": 0.9754834175109863, | |
| "eval_min_confidence": 0.34890037775039673, | |
| "eval_max_confidence": 0.9935059547424316, | |
| "eval_runtime": 1.1265, | |
| "eval_samples_per_second": 1065.285, | |
| "eval_steps_per_second": 33.734, | |
| "epoch": 5.0 | |
| } |