Text Classification
Transformers
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use Balakumarn/autotrain-fb7je-fblye with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Balakumarn/autotrain-fb7je-fblye with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Balakumarn/autotrain-fb7je-fblye")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Balakumarn/autotrain-fb7je-fblye") model = AutoModelForSequenceClassification.from_pretrained("Balakumarn/autotrain-fb7je-fblye", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8916423320770264
f1_macro: 0.4583333333333333
f1_micro: 0.8333333333333334
f1_weighted: 0.7638888888888888
precision_macro: 0.4285714285714286
precision_micro: 0.8333333333333334
precision_weighted: 0.7142857142857143
recall_macro: 0.5
recall_micro: 0.8333333333333334
recall_weighted: 0.8333333333333334
accuracy: 0.8333333333333334
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