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akaruineko
/
ftan-2.0

Text Classification
Transformers
Safetensors
English
distilbert
moderation
filtering
offensive
clean
Eval Results (legacy)
Eval Results
text-embeddings-inference
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akaruineko commited on
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1 Parent(s): cdbd1eb

ftanch benchmarked

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@@ -13,6 +13,113 @@ tags:
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  - filtering
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  - offensive
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  - clean
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # ftan-2.0
 
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  - filtering
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  - offensive
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  - clean
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+ model-index:
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+ - name: "akaruineko/ftan-2.0"
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+ results:
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+ - task:
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+ type: "text-classification"
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+ id: "overall"
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+ dataset:
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+ type: "akaruineko/ftanch"
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+ name: "FTANch"
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+ split: "test"
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+ metrics:
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+ - type: "acc"
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+ value: 0.8144
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+ name: "Accuracy"
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+ - type: "p"
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+ value: 0.7637
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+ name: "Precision"
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+ - type: "r"
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+ value: 0.9890
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+ name: "Recall"
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+ - type: "f1"
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+ value: 0.8619
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+ name: "F1-Score"
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+
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+ - task:
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+ type: "text-classification"
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+ id: "test"
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+ dataset:
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+ type: "akaruineko/ftanch"
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+ name: "FTANch"
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+ split: "test"
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+ metrics:
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+ - type: "acc"
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+ value: 0.7752
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+ name: "Accuracy"
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+ - type: "p"
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+ value: 0.6938
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+ name: "Precision"
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+ - type: "r"
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+ value: 0.9852
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+ name: "Recall"
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+ - type: "f1"
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+ value: 0.8142
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+ name: "F1-Score"
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+
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+ - task:
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+ type: "text-classification"
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+ id: "test_obfuscated"
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+ dataset:
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+ type: "akaruineko/ftanch"
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+ name: "FTANch"
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+ split: "test"
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+ metrics:
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+ - type: "acc"
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+ value: 0.8979
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+ name: "Accuracy"
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+ - type: "p"
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+ value: 0.8866
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+ name: "Precision"
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+ - type: "r"
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+ value: 0.9942
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+ name: "Recall"
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+ - type: "f1"
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+ value: 0.9373
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+ name: "F1-Score"
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+
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+ - task:
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+ type: "text-classification"
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+ id: "plain"
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+ dataset:
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+ type: "akaruineko/ftanch"
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+ name: "FTANch"
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+ split: "test"
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+ metrics:
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+ - type: "acc"
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+ value: 0.6670
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+ name: "Accuracy"
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+ - type: "p"
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+ value: 0.4398
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+ name: "Precision"
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+ - type: "r"
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+ value: 0.9622
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+ name: "Recall"
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+ - type: "f1"
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+ value: 0.6037
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+ name: "F1-Score"
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+
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+ - task:
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+ type: "text-classification"
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+ id: "mutated"
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+ dataset:
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+ type: "akaruineko/ftanch"
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+ name: "FTANch"
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+ split: "test"
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+ metrics:
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+ - type: "acc"
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+ value: 0.8979
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+ name: "Accuracy"
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+ - type: "p"
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+ value: 0.8866
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+ name: "Precision"
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+ - type: "r"
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+ value: 0.9942
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+ name: "Recall"
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+ - type: "f1"
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+ value: 0.9373
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+ name: "F1-Score"
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  ---
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  # ftan-2.0