
# Lite Toxic Comment Classification
Lightweight ALBERT-based model for English toxic comment classification. Achieves a mean AUC score of 98.28 on the Jigsaw test set.
{"language": ["en"], "license": "apache-2.0", "datasets": ["jigsaw_unintended_bias", "jigsaw_toxicity_pred"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"}
transformers pytorch safetensors albert text-classification en dataset:jigsaw_unintended_bias dataset:jigsaw_toxicity_pred license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #albert #text-classification #en #dataset-jigsaw_unintended_bias #dataset-jigsaw_toxicity_pred #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# Lite Toxic Comment Classification
Lightweight ALBERT-based model for English toxic comment classification. Achieves a mean AUC score of 98.28 on the Jigsaw test set.
# Lite Toxic Comment Classification
Lightweight ALBERT-based model for English toxic comment classification. Achieves a mean AUC score of 98.28 on the Jigsaw test set.
TAGS
#transformers #pytorch #safetensors #albert #text-classification #en #dataset-jigsaw_unintended_bias #dataset-jigsaw_toxicity_pred #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # Lite Toxic Comment Classification
Lightweight ALBERT-based model for English toxic comment classification. Achieves a mean AUC score of 98.28 on the Jigsaw test set.
TAGS
#transformers #pytorch #safetensors #albert #text-classification #en #dataset-jigsaw_unintended_bias #dataset-jigsaw_toxicity_pred #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# Lite Toxic Comment Classification
Lightweight ALBERT-based model for English toxic comment classification. Achieves a mean AUC score of 98.28 on the Jigsaw test set.