Text Classification
Transformers
Safetensors
Indonesian
bert
indobert
intent-classification
text-embeddings-inference
Instructions to use Firdania/sindesa-indobert-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Firdania/sindesa-indobert-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Firdania/sindesa-indobert-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Firdania/sindesa-indobert-intent") model = AutoModelForSequenceClassification.from_pretrained("Firdania/sindesa-indobert-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "validation": { | |
| "accuracy": 0.8556034482758621, | |
| "macro_f1": 0.886913586129003, | |
| "weighted_f1": 0.8557812935961824 | |
| }, | |
| "test": { | |
| "accuracy": 0.83632447954056, | |
| "macro_f1": 0.8634187089939357, | |
| "weighted_f1": 0.8365568925411568 | |
| }, | |
| "challenge": { | |
| "accuracy": 0.83, | |
| "macro_f1": 0.8078033078033078, | |
| "weighted_f1": 0.8078033078033077 | |
| }, | |
| "test_per_intent": { | |
| "tanya_prosedur": { | |
| "precision": 0.7672727272727272, | |
| "recall": 0.7814814814814814, | |
| "f1-score": 0.7743119266055046, | |
| "support": 270.0 | |
| }, | |
| "tanya_kendala": { | |
| "precision": 0.7875, | |
| "recall": 0.7682926829268293, | |
| "f1-score": 0.7777777777777778, | |
| "support": 164.0 | |
| }, | |
| "tanya_informasi": { | |
| "precision": 0.8271604938271605, | |
| "recall": 0.8007968127490039, | |
| "f1-score": 0.8137651821862348, | |
| "support": 251.0 | |
| }, | |
| "tanya_status": { | |
| "precision": 0.7606837606837606, | |
| "recall": 0.8811881188118812, | |
| "f1-score": 0.8165137614678899, | |
| "support": 101.0 | |
| }, | |
| "tanya_lokasi": { | |
| "precision": 0.875, | |
| "recall": 0.8, | |
| "f1-score": 0.835820895522388, | |
| "support": 35.0 | |
| }, | |
| "tanya_pembaruan": { | |
| "precision": 0.8523489932885906, | |
| "recall": 0.8819444444444444, | |
| "f1-score": 0.8668941979522184, | |
| "support": 144.0 | |
| }, | |
| "tanya_pembayaran": { | |
| "precision": 0.8625, | |
| "recall": 0.8734177215189873, | |
| "f1-score": 0.8679245283018868, | |
| "support": 79.0 | |
| }, | |
| "tanya_syarat": { | |
| "precision": 0.9183673469387755, | |
| "recall": 0.8653846153846154, | |
| "f1-score": 0.8910891089108911, | |
| "support": 208.0 | |
| }, | |
| "tanya_jadwal": { | |
| "precision": 0.9523809523809523, | |
| "recall": 0.9090909090909091, | |
| "f1-score": 0.9302325581395349, | |
| "support": 44.0 | |
| }, | |
| "tanya_durasi": { | |
| "precision": 0.9322033898305084, | |
| "recall": 0.9649122807017544, | |
| "f1-score": 0.9482758620689655, | |
| "support": 57.0 | |
| }, | |
| "oos": { | |
| "precision": 0.975, | |
| "recall": 0.975, | |
| "f1-score": 0.975, | |
| "support": 40.0 | |
| } | |
| }, | |
| "challenge_per_intent": { | |
| "tanya_jadwal": { | |
| "precision": 1.0, | |
| "recall": 0.1, | |
| "f1-score": 0.18181818181818182, | |
| "support": 10.0 | |
| }, | |
| "tanya_status": { | |
| "precision": 1.0, | |
| "recall": 0.4, | |
| "f1-score": 0.5714285714285714, | |
| "support": 10.0 | |
| }, | |
| "tanya_informasi": { | |
| "precision": 0.5, | |
| "recall": 1.0, | |
| "f1-score": 0.6666666666666666, | |
| "support": 10.0 | |
| }, | |
| "tanya_prosedur": { | |
| "precision": 0.625, | |
| "recall": 1.0, | |
| "f1-score": 0.7692307692307693, | |
| "support": 10.0 | |
| }, | |
| "tanya_pembaruan": { | |
| "precision": 1.0, | |
| "recall": 0.8, | |
| "f1-score": 0.8888888888888888, | |
| "support": 10.0 | |
| }, | |
| "tanya_kendala": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 10.0 | |
| }, | |
| "tanya_lokasi": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 10.0 | |
| }, | |
| "tanya_durasi": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 10.0 | |
| }, | |
| "tanya_pembayaran": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 10.0 | |
| }, | |
| "tanya_syarat": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 10.0 | |
| } | |
| } | |
| } |