Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("luukschmitz/Geofin2")
model = AutoModelForSequenceClassification.from_pretrained("luukschmitz/Geofin2", device_map="auto")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8448383808135986
f1_macro: 0.6157720421369062
f1_micro: 0.6903765690376569
f1_weighted: 0.6859027993316449
precision_macro: 0.6455502935971685
precision_micro: 0.6903765690376569
precision_weighted: 0.686461837753025
recall_macro: 0.5960579394741132
recall_micro: 0.6903765690376569
recall_weighted: 0.6903765690376569
accuracy: 0.6903765690376569
- Downloads last month
- 4
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luukschmitz/Geofin2")