Orga Dynamic (1) — Bilingual End-of-Utterance Classifier
Orga Dynamic (1) es un adaptador LoRA (Low-Rank Adaptation) entrenado para detectar automáticamente el fin de turno (End of Utterance, EOU) en conversaciones.
- Base model:
HuggingFaceTB/SmolLM2-135M-Instruct - Method: LoRA-r16 / α32 sobre
q_proj,k_proj,v_proj,o_proj - Training data: 4 000 intervenciones
- Metrics (test 20 %)
| Metric | EN + ES |
|---|---|
| Accuracy | 0.951 |
| F1 | 0.948 |
Model Details
| Languages | English (en), Spanish (es) |
| Labels | 0 = NO_EOU, 1 = EOU |
| Precision | fp16 (LoRA weights ≈ 5 MB) |
| License | Apache 2.0 |
| Author | @marc-es |
Quick Start
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from peft import PeftModel
base = AutoModelForSequenceClassification.from_pretrained(
"HuggingFaceTB/SmolLM2-135M-Instruct", num_labels=2)
model = PeftModel.from_pretrained(base, "marc-es/orga-dynamic-1")
tok = AutoTokenizer.from_pretrained("marc-es/orga-dynamic-1")
def is_end(text):
out = model(**tok(text, return_tensors="pt"))[0]
return out.argmax(-1).item() == 1 # True = EOU
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Model tree for marc-es/orga-dynamic-1
Base model
HuggingFaceTB/SmolLM2-135M Quantized
HuggingFaceTB/SmolLM2-135M-Instruct