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--- |
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tags: |
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- autotrain |
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- text-classification |
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language: |
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- en |
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widget: |
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- text: "I love AutoTrain 🤗" |
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datasets: |
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- tradero/autotrain-data-user-intent |
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co2_eq_emissions: |
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emissions: 0.46902644633558377 |
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--- |
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# Model Trained Using AutoTrain |
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- Problem type: Multi-class Classification |
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- Model ID: 49241119078 |
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- CO2 Emissions (in grams): 0.4690 |
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## Validation Metrics |
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- Loss: 1.676 |
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- Accuracy: 0.800 |
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- Macro F1: 0.733 |
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- Micro F1: 0.800 |
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- Weighted F1: 0.733 |
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- Macro Precision: 0.700 |
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- Micro Precision: 0.800 |
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- Weighted Precision: 0.700 |
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- Macro Recall: 0.800 |
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- Micro Recall: 0.800 |
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- Weighted Recall: 0.800 |
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## Usage |
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Python API: |
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``` |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model = AutoModelForSequenceClassification.from_pretrained("tradero/distilbert-user-intent", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("tradero/distilbert-user-intent", use_auth_token=True) |
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inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
