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/Geofin5")
model = AutoModelForSequenceClassification.from_pretrained("luukschmitz/Geofin5", device_map="auto")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.9263564944267273
f1_macro: 0.6193851541399454
f1_micro: 0.700836820083682
f1_weighted: 0.6928921325883705
precision_macro: 0.6728486680867634
precision_micro: 0.700836820083682
precision_weighted: 0.7079874543114232
recall_macro: 0.6147070748686357
recall_micro: 0.700836820083682
recall_weighted: 0.700836820083682
accuracy: 0.700836820083682
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luukschmitz/Geofin5")