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bert-mini-finetuned-age_news-classification

Text Classification Transformers PyTorch JAX Safetensors
English bert news classification mini Eval Results Inference Endpoints
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mrm8488 autoevaluator HF staff commited on
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)

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- Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (3442f6aee3d4bdaebbd050041c4481ef63dbb78f)


Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +33 -22
README.md CHANGED
@@ -21,50 +21,61 @@ model-index:
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  config: default
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  split: test
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9339473684210526
 
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  verified: true
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- - name: Precision Macro
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- type: precision
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  value: 0.9341278202108704
 
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  verified: true
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- - name: Precision Micro
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- type: precision
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  value: 0.9339473684210526
 
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  verified: true
36
- - name: Precision Weighted
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- type: precision
38
  value: 0.9341278202108704
 
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  verified: true
40
- - name: Recall Macro
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- type: recall
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  value: 0.9339473684210526
 
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  verified: true
44
- - name: Recall Micro
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- type: recall
46
  value: 0.9339473684210526
 
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  verified: true
48
- - name: Recall Weighted
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- type: recall
50
  value: 0.9339473684210526
 
51
  verified: true
52
- - name: F1 Macro
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- type: f1
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  value: 0.9339351653217216
 
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  verified: true
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- - name: F1 Micro
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- type: f1
58
  value: 0.9339473684210526
 
59
  verified: true
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- - name: F1 Weighted
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- type: f1
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  value: 0.9339351653217215
 
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  verified: true
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- - name: loss
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- type: loss
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  value: 0.20814141631126404
 
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  verified: true
 
68
  ---
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  # BERT-Mini fine-tuned on age_news dataset for news classification
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  config: default
22
  split: test
23
  metrics:
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+ - type: accuracy
 
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  value: 0.9339473684210526
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+ name: Accuracy
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  verified: true
28
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGMyMDQ2MWFkMjVmNzI1YjJjNGI4MzVmYjI4YjM4NWJhYTE4NjM1YTU5YmFlNjE4OTM1ODUzMTQzYjkzOWFiNCIsInZlcnNpb24iOjF9.2LUwbHZXya2yH5UQmSJgzwad-k00u4woOKWKDbdgYdxBSeAK_5hxql5E6htJyb10xcqrd6fOMHzPNIboC0N_AA
29
+ - type: precision
30
  value: 0.9341278202108704
31
+ name: Precision Macro
32
  verified: true
33
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDQ3MThmNjZkMWUxM2ZkMzk4ZjVkOTIzMDkwN2IwODNkNTMwYjNjZDlhM2VkOWJiMDE0ZGJiZGRhOTJhZTFiNCIsInZlcnNpb24iOjF9.SYSvqyyCO1wX25qDdH7yDa4lB4ZbkPbVDiU7006K-QYG1eQ2ZSaLiYEkPZjnHOP0A1pOKCr1Eu8pyHi61dpeDw
34
+ - type: precision
35
  value: 0.9339473684210526
36
+ name: Precision Micro
37
  verified: true
38
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDdhYThkODVlN2I0ZTBlZmY3ZjBkMGVkZmU0Yjk5NmUzYjA1NWRjZTU1M2FlZDk3NDUyNDhiNjgxZDU2MTcyMyIsInZlcnNpb24iOjF9.GMvGnfrD4KPWlJfbwCSpJ5J-2rhKp9JpULfn9hMA_UIcXAxBvowJ4Jq2TSUACfu0e11ZkHGX9ieInVDaUvaNDA
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+ - type: precision
40
  value: 0.9341278202108704
41
+ name: Precision Weighted
42
  verified: true
43
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWJiNmE1YjhkYmI5ODU5ODI1NjZmOWQ5YTNjMjI0OTZiMWJhNTc5NTkzODc2ZjBmMGQ1M2Y3YTFiOGI4M2Q3ZiIsInZlcnNpb24iOjF9.Rff7RZQBYpghWbMMTOllZD-Hvg0XzHBnu5O-p944wLZDYOdptMQsH5pxMvpHGdMV3ubhywBNmk6LLpWV_SWUBQ
44
+ - type: recall
45
  value: 0.9339473684210526
46
+ name: Recall Macro
47
  verified: true
48
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTgxYThiOWMwNDQ1NTFkZDgwZGQ5YWE0ODg5YjFmNDNkZGQzNTAxYjJkNDE1M2Q1MDlhNWRhZjc0Mjc5MGMwOSIsInZlcnNpb24iOjF9.3zmvO72C0JdwsTuQ0JM4AyQ5uI7nzR7WWi_is9biXl8MpWTzfUnhfID5aMm2Ysbmvq_4LQR-8JhoVGMW-42fDw
49
+ - type: recall
50
  value: 0.9339473684210526
51
+ name: Recall Micro
52
  verified: true
53
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjJmNmQ1NjBmZDg3NzU1NWY5MjNlZTk1ODUxODE2NjNmNDg4NDM0MjFiNmZhYjc2YjhmYTQ5YTNjZjIwNGQ1YSIsInZlcnNpb24iOjF9.KE63WXvmB98lfKxxSfmefCB2rXWhaUWO-YcOMthGoGXMIB4asizAuu-bhOvXaAyFCzGfGKk8OFvB6r6QzE8MCg
54
+ - type: recall
55
  value: 0.9339473684210526
56
+ name: Recall Weighted
57
  verified: true
58
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODE4ZTNhNmZkMTQxMmZjYjZmOTI1NGRmM2U3NTE5NDJhZmRkNThlNjVmOTU0ZTIwMDhkYjk1MzYzMDRhY2JkMiIsInZlcnNpb24iOjF9.B4h2dORHGgtsx-2mDbmyOMQzUNaS0WNKoMwI6kGYfQNVp_X0m6XYPI9mxmOJqugVuzctTgY-Ujk24rwUTc2dBg
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+ - type: f1
60
  value: 0.9339351653217216
61
+ name: F1 Macro
62
  verified: true
63
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTVjMWY4MjQ1ZmRhMWRiZTYwZWVkNjBkMTA3OTJkM2NiNWRkZDg2NWZkZTNlODBmODRlYzQ3NGUzNDBjMjQ5MyIsInZlcnNpb24iOjF9.9EEslDwEPYwqKbKHAi2pwKu75t7Upph7v40ZHiQk-n-PDwvCaYfBtwoamMbKyJhoU7NPcX79FUq8cOvN5t_FBA
64
+ - type: f1
65
  value: 0.9339473684210526
66
+ name: F1 Micro
67
  verified: true
68
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzYxNDkzNjYwODE4NTlkYWI0M2M2MWEwYmE0ZGQxMGJlY2UzYmE5NTBiMjA0ODY0NzI3MzIzOTFmZGJhOTUwZSIsInZlcnNpb24iOjF9.G25vyEwE1dJQYbxyUmWS_aap56kX3O1nSHOdketgGvDEyWeRLWJSfd1LUN14NUp9YvPabgLPSx2X5CKaOvNNCA
69
+ - type: f1
70
  value: 0.9339351653217215
71
+ name: F1 Weighted
72
  verified: true
73
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjlmY2ZkZjMyZjE1YjVlMGNkNmJhZTM5ZjFlMzVjMzNkOWRiZWRjZTBmMTk1YjQwZDgwY2YwNTg2YWViMzkxYyIsInZlcnNpb24iOjF9.7S_zA7SiEnaNm3RQzAv8rT0OHuKeG_EB5YpiGJeSlcKDTDyOYoNL5ZQ2wjsUpx5ofAFkdU2u0RNwEu8pgeHjAQ
74
+ - type: loss
75
  value: 0.20814141631126404
76
+ name: loss
77
  verified: true
78
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmE2OWY4MjU4ZmY1NTgzN2NmNTcwMjU4NWE0ZWE5YTY5M2EyZmJjMzVkZmQ1OGNlNGJiYWFjYmI2ZThhYmU2MyIsInZlcnNpb24iOjF9.WUB0AhSCxHO1Ji7sL92A4UYA7EhJQQTxgZ4lTwm4mdWAYPYxuQ5UhOL0fZpZfsfqtkym8LdcxPozwIvxSsH1AQ
79
  ---
80
 
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  # BERT-Mini fine-tuned on age_news dataset for news classification