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visolex
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textcnn-hsd

Text Classification
PyTorch
bert
vietnamese
hate-speech-detection
offensive-language-detection
custom_code
Eval Results (legacy)
Model card Files
xet
Community
2
textcnn-hsd
File size: 1,043 Bytes 
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{
  "phobert-v1": {
    "accuracy": 0.9421,
    "f1_macro": 0.8308,
    "f1_weighted": 0.9394
  },
  "phobert-v2": {
    "accuracy": 0.9341,
    "f1_macro": 0.8048,
    "f1_weighted": 0.9326
  },
  "bartpho": {
    "accuracy": 0.8985,
    "f1_macro": 0.6791,
    "f1_weighted": 0.8886
  },
  "visobert": {
    "accuracy": 0.9372,
    "f1_macro": 0.8241,
    "f1_weighted": 0.9379
  },
  "vihate-t5": {
    "accuracy": 0.9551,
    "f1_macro": 0.8718,
    "f1_weighted": 0.9535
  },
  "xlm-r": {
    "accuracy": 0.9203,
    "f1_macro": 0.7625,
    "f1_weighted": 0.9177
  },
  "roberta-gru": {
    "accuracy": 0.9537,
    "f1_macro": 0.8716,
    "f1_weighted": 0.953
  },
  "bilstm": {
    "accuracy": 0.8388,
    "f1_macro": 0.3041,
    "f1_weighted": 0.7652
  },
  "textcnn": {
    "accuracy": 0.8388,
    "f1_macro": 0.3041,
    "f1_weighted": 0.7652
  },
  "mbert": {
    "accuracy": 0.936,
    "f1_macro": 0.8044,
    "f1_weighted": 0.9317
  },
  "sphobert": {
    "accuracy": 0.9143,
    "f1_macro": 0.7378,
    "f1_weighted": 0.9096
  }
}