Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use SamanthaStorm/autotrain-c1un8-p8vzo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamanthaStorm/autotrain-c1un8-p8vzo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamanthaStorm/autotrain-c1un8-p8vzo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/autotrain-c1un8-p8vzo") model = AutoModelForSequenceClassification.from_pretrained("SamanthaStorm/autotrain-c1un8-p8vzo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.9843522310256958
f1_macro: 0.5469495261612355
f1_micro: 0.6764132553606238
f1_weighted: 0.6625343106205851
precision_macro: 0.6094500754079146
precision_micro: 0.6764132553606238
precision_weighted: 0.6856311248514689
recall_macro: 0.5448562173263357
recall_micro: 0.6764132553606238
recall_weighted: 0.6764132553606238
accuracy: 0.6764132553606238
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Model tree for SamanthaStorm/autotrain-c1un8-p8vzo
Base model
FacebookAI/roberta-base