Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use jondoe888/distillation_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jondoe888/distillation_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jondoe888/distillation_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jondoe888/distillation_test") model = AutoModelForSequenceClassification.from_pretrained("jondoe888/distillation_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
Validation Metrics
loss: 0.5938536524772644
f1_macro: 0.7222515953648029
f1_micro: 0.773
f1_weighted: 0.7597654727348124
precision_macro: 0.7867675237321506
precision_micro: 0.773
precision_weighted: 0.7868723492084404
recall_macro: 0.7150820510852743
recall_micro: 0.773
recall_weighted: 0.773
accuracy: 0.773
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