ModelÜberprüftExtern

Autotrain 1yxva 9iwex

Model Trained Using AutoTrain Problem type: Text Classification Validation Metrics loss: 1.8924516439437866

Quellehuggingface.co/hugde24x7/autotrain-1yxva-9iwex/tree/996646a2e4944e5abcded7abe81138d0b8c4f773

Arttext-classificationBasismodellgoogle-bert/bert-base-uncasedVersionmodelVerleger@hugde24x7CBewertung

Modellquelle

Art: text-classification
Dateigröße: 418 MB
Basismodell: google-bert/bert-base-uncased
Version: vmodel
Aktualisiert: 16. Mai 2026
Verleger: @hugde24x7
Quelle: Hugging Face

Quellenbeschreibung

Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 1.8924516439437866

f1_macro: 0.15824175824175826

f1_micro: 0.2857142857142857

f1_weighted: 0.15824175824175826

precision_macro: 0.1212121212121212

precision_micro: 0.2857142857142857

Quellen

1 Quelle

Hugging FacePrimärVersion 996646a2e4944e5abcded7abe81138d0b8c4f773

huggingface.co/hugde24x7/autotrain-1yxva-9iwex/tree/996646a2e4944e5abcded7abe81138d0b8c4f773

Verifiziert 17. Juli

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 418 MB · SHA-256 7d403103dd9e…58bc · Hugging Face

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Quellenauszüge

3 Auszüge

Readme11. Julihuggingface.co/hugde24x7/autotrain-1yxva-9iwex

--- library_name: transformers tags: - autotrain - text-classification base_model: google-bert/bert-base-uncased widget: - text: "I love AutoTrain" --- # Model Trained Using AutoTrain - Problem type: Text Classification ## Validation Metrics loss: 1.8924516439437866 f1_macro: 0.15824175824175826 f1_micro: 0.2857142857142857 f1_weighted: 0.15824175824175826 precision_macro: 0.1212121212121212 precision_micro: 0.2857142857142857 precision_weighted: 0.1212121212121212 recall_macro: 0.2857142857142857 recall_micro: 0.2857142857142857 recall_weighted: 0.2857142857142857 accuracy: 0.2857142857142857