Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use SamanthaStorm/autotrain-jlpi4-mllvp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamanthaStorm/autotrain-jlpi4-mllvp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamanthaStorm/autotrain-jlpi4-mllvp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/autotrain-jlpi4-mllvp") model = AutoModelForSequenceClassification.from_pretrained("SamanthaStorm/autotrain-jlpi4-mllvp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8583605885505676
f1_macro: 0.6762125226297067
f1_micro: 0.7406542056074766
f1_weighted: 0.7374561693403857
precision_macro: 0.6822489993261093
precision_micro: 0.7406542056074766
precision_weighted: 0.752914767365008
recall_macro: 0.6865689560928873
recall_micro: 0.7406542056074766
recall_weighted: 0.7406542056074766
accuracy: 0.7406542056074766
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Model tree for SamanthaStorm/autotrain-jlpi4-mllvp
Base model
FacebookAI/roberta-base