Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/scenarioanalysisv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/scenarioanalysisv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/scenarioanalysisv1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/scenarioanalysisv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/scenarioanalysisv1") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.14974823594093323
f1_macro: 0.983739837398374
f1_micro: 0.9838709677419355
f1_weighted: 0.9838709677419355
precision_macro: 0.9841269841269842
precision_micro: 0.9838709677419355
precision_weighted: 0.9846390168970814
recall_macro: 0.9841269841269842
recall_micro: 0.9838709677419355
recall_weighted: 0.9838709677419355
accuracy: 0.9838709677419355
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