ModelVerificadoExterno

Autotrain 1yxva 9iwex

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

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

Tipotext-classificationModelo basegoogle-bert/bert-base-uncasedVersiónmodelPublicador@hugde24x7Ccalidad

Fuente del modelo

Tipo: text-classification
Tamaño del archivo: 418 MB
Modelo base: google-bert/bert-base-uncased
Versión: vmodel
Actualizado: 16 may 2026
Publicador: @hugde24x7
Fuente: Hugging Face

Descripción de la fuente

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

Fuentes

1 fuente

Hugging FacePrincipalVersión 996646a2e4944e5abcded7abe81138d0b8c4f773

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

Verificado 17 jul

Artefactos del modelo

1 artefacto

model.safetensors

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

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Extractos de fuentes

3 extractos

Readme11 julhuggingface.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