Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("dhananjay2912/clinicalbert_aci_bench_section_classifier")
model = AutoModelForSequenceClassification.from_pretrained("dhananjay2912/clinicalbert_aci_bench_section_classifier")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.0647395849227905
f1_macro: 0.4558641367469575
f1_micro: 0.74
f1_weighted: 0.7165269403625714
precision_macro: 0.47941017316017315
precision_micro: 0.74
precision_weighted: 0.7261709956709957
recall_macro: 0.4931601731601732
recall_micro: 0.74
recall_weighted: 0.74
accuracy: 0.74
- Downloads last month
- 2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhananjay2912/clinicalbert_aci_bench_section_classifier")