Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use luukschmitz/geotrain-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luukschmitz/geotrain-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luukschmitz/geotrain-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luukschmitz/geotrain-final") model = AutoModelForSequenceClassification.from_pretrained("luukschmitz/geotrain-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.9777308702468872
f1_macro: 0.5687536311381957
f1_micro: 0.6317991631799164
f1_weighted: 0.6338876929966345
precision_macro: 0.6188229771753799
precision_micro: 0.6317991631799164
precision_weighted: 0.6676941440515829
recall_macro: 0.570025126085866
recall_micro: 0.6317991631799164
recall_weighted: 0.6317991631799164
accuracy: 0.6317991631799164
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