Update README.md
Browse files
README.md
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@@ -20,32 +20,38 @@ model-index:
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value: 0.9105504587155964
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name: Accuracy
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verified: true
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verifyToken:
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- type: precision
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value: 0.8978260869565218
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name: Precision
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verified: true
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verifyToken:
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- type: recall
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value: 0.9301801801801802
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name: Recall
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verified: true
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verifyToken:
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- type: auc
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value: 0.9716626673402374
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name: AUC
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verified: true
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name: F1
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name: loss
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- task:
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type: text-classification
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name: Text Classification
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value: 0.9885521685548412
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name: Accuracy
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verified: true
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verifyToken:
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- type: precision
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value: 0.9881965062029833
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name: Precision Macro
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verified: true
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- type: precision
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value: 0.9885521685548412
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name: Precision Micro
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verified: true
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- type: precision
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value: 0.9885639626373408
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name: Precision Weighted
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verified: true
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verifyToken:
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- type: recall
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value: 0.9886145346602994
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name: Recall Macro
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verified: true
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verifyToken:
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- type: recall
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value: 0.9885521685548412
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name: Recall Micro
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verified: true
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- type: recall
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value: 0.9885521685548412
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name: Recall Weighted
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verified: true
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- type: f1
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value: 0.9884019815052447
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name: F1 Macro
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verified: true
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verifyToken:
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- type: f1
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value: 0.9885521685548412
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name: F1 Micro
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verified: true
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verifyToken:
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- type: f1
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value: 0.9885546181087554
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name: F1 Weighted
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verified: true
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verifyToken:
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- type: loss
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value: 0.040652573108673096
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name: loss
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verified: true
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verifyToken:
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---
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# DistilBERT base uncased finetuned SST-2
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@@ -192,6 +210,4 @@ The authors use the following Stanford Sentiment Treebank([sst2](https://hugging
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- batch_size = 32
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- warmup = 600
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- max_seq_length = 128
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-
- num_train_epochs = 3.0
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-
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-
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value: 0.9105504587155964
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name: Accuracy
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verified: true
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- type: recall
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value: 0.9301801801801802
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name: Recall
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verified: true
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- type: auc
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value: 0.9716626673402374
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name: AUC
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verified: true
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- type: f1
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value: 0.39013850688934326
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- task:
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type: text-classification
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name: Text Classification
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value: 0.9885521685548412
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name: Accuracy
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verified: true
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- type: precision
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value: 0.9881965062029833
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name: Precision Macro
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verified: true
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- type: precision
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value: 0.9885521685548412
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name: Precision Micro
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verified: true
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- type: precision
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value: 0.9885639626373408
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name: Precision Weighted
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verified: true
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- type: recall
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value: 0.9886145346602994
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name: Recall Macro
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verified: true
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- type: recall
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value: 0.9885521685548412
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name: Recall Micro
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verified: true
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- type: recall
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value: 0.9885521685548412
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name: Recall Weighted
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verified: true
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verified: true
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value: 0.9885546181087554
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name: F1 Weighted
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verified: true
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value: 0.040652573108673096
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name: loss
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verified: true
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+
pipeline_tag: text-classification
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---
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# DistilBERT base uncased finetuned SST-2
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- batch_size = 32
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- warmup = 600
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- max_seq_length = 128
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+
- num_train_epochs = 3.0
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