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readerbench
/
ro-sentiment

Text Classification
Transformers
PyTorch
Romanian
bert
sentiment
classification
romanian
nlp
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
 Community
3
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Update README.md

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@@ -42,7 +42,7 @@ model-index:
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  name: Weighted F1 # Optional. Example: Test WER
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  - type: f1_macro # Required. Example: wer. Use metric id from https://hf.co/metrics
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  value: 0.84 # Required. Example: 20.90
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- name: Weighted F1 # Optional. Example: Test WER
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  - task:
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  type: text-classification # Required. Example: automatic-speech-recognition
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  name: Text Classification # Optional. Example: Speech Recognition
@@ -66,7 +66,7 @@ model-index:
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  name: Weighted F1 # Optional. Example: Test WER
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  - type: f1_macro # Required. Example: wer. Use metric id from https://hf.co/metrics
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  value: 0.84 # Required. Example: 20.90
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- name: Weighted F1 # Optional. Example: Test WER
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  ---
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  name: Weighted F1 # Optional. Example: Test WER
43
  - type: f1_macro # Required. Example: wer. Use metric id from https://hf.co/metrics
44
  value: 0.84 # Required. Example: 20.90
45
+ name: Macro F1 # Optional. Example: Test WER
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  - task:
47
  type: text-classification # Required. Example: automatic-speech-recognition
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  name: Text Classification # Optional. Example: Speech Recognition
 
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  name: Weighted F1 # Optional. Example: Test WER
67
  - type: f1_macro # Required. Example: wer. Use metric id from https://hf.co/metrics
68
  value: 0.84 # Required. Example: 20.90
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+ name: Macro F1 # Optional. Example: Test WER
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  ---
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