Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/governancev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/governancev1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/governancev1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/governancev1") model = AutoModelForSequenceClassification.from_pretrained("lomov/governancev1") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.6183362007141113
f1_macro: 0.8169326711187176
f1_micro: 0.8211382113821138
f1_weighted: 0.8178385589956776
precision_macro: 0.8425385791952508
precision_micro: 0.8211382113821138
precision_weighted: 0.8430523097652948
recall_macro: 0.8198412698412699
recall_micro: 0.8211382113821138
recall_weighted: 0.8211382113821138
accuracy: 0.8211382113821138
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