Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use SamanthaStorm/autotrain-d1kyf-awv0l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamanthaStorm/autotrain-d1kyf-awv0l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamanthaStorm/autotrain-d1kyf-awv0l")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/autotrain-d1kyf-awv0l") model = AutoModelForSequenceClassification.from_pretrained("SamanthaStorm/autotrain-d1kyf-awv0l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.159878134727478
f1_macro: 0.5498788088972826
f1_micro: 0.6627680311890838
f1_weighted: 0.6562215712974566
precision_macro: 0.5864695893201994
precision_micro: 0.6627680311890838
precision_weighted: 0.6700018781804356
recall_macro: 0.5452199082270419
recall_micro: 0.6627680311890838
recall_weighted: 0.6627680311890838
accuracy: 0.6627680311890838
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Model tree for SamanthaStorm/autotrain-d1kyf-awv0l
Base model
FacebookAI/roberta-base