Text Classification
Transformers
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/autotrain-balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/autotrain-balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/autotrain-balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/autotrain-balanced") model = AutoModelForSequenceClassification.from_pretrained("lomov/autotrain-balanced") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.22649548947811127
f1_macro: 0.948660421895716
f1_micro: 0.9479326186830015
f1_weighted: 0.9489164477066468
precision_macro: 0.9540278287152939
precision_micro: 0.9479326186830015
precision_weighted: 0.954520639127228
recall_macro: 0.9479102167182663
recall_micro: 0.9479326186830015
recall_weighted: 0.9479326186830015
accuracy: 0.9479326186830015
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