Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#19
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +44 -30
README.md CHANGED
@@ -1,10 +1,10 @@
1
  ---
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  language: en
3
- inference: false
4
  tags:
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  - text-generation
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  - opt
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- license: other
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  commercial: false
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  model-index:
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  - name: inverse-scaling/opt-2.7b_eval
@@ -18,14 +18,16 @@ model-index:
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  config: inverse-scaling--NeQA
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  split: train
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.5266666666666666
 
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  verified: true
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- - name: Loss
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- type: loss
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  value: 0.7040334887305896
 
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  verified: true
 
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  - task:
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  type: zero-shot-classification
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  name: Zero-Shot Text Classification
@@ -35,14 +37,16 @@ model-index:
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  config: inverse-scaling--quote-repetition
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  split: train
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  metrics:
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- - name: Accuracy
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- type: accuracy
40
  value: 0.9433333333333334
 
41
  verified: true
42
- - name: Loss
43
- type: loss
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  value: 0.08805314021493173
 
45
  verified: true
 
46
  - task:
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  type: zero-shot-classification
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  name: Zero-Shot Text Classification
@@ -52,14 +56,16 @@ model-index:
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  config: inverse-scaling--redefine-math
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  split: train
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.72
 
58
  verified: true
59
- - name: Loss
60
- type: loss
61
  value: 0.6120818952802155
 
62
  verified: true
 
63
  - task:
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  type: zero-shot-classification
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  name: Zero-Shot Text Classification
@@ -69,14 +75,16 @@ model-index:
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  config: inverse-scaling--hindsight-neglect-10shot
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  split: train
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  metrics:
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- - name: Accuracy
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- type: accuracy
74
  value: 0.44761904761904764
 
75
  verified: true
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- - name: Loss
77
- type: loss
78
  value: 0.8747565217197888
 
79
  verified: true
 
80
  - task:
81
  type: zero-shot-classification
82
  name: Zero-Shot Text Classification
@@ -86,14 +94,16 @@ model-index:
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  config: mathemakitten--winobias_antistereotype_test_cot_v1
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  split: test
88
  metrics:
89
- - name: Accuracy
90
- type: accuracy
91
  value: 0.39805825242718446
 
92
  verified: true
93
- - name: Loss
94
- type: loss
95
  value: 1.3472958901782706
 
96
  verified: true
 
97
  - task:
98
  type: zero-shot-classification
99
  name: Zero-Shot Text Classification
@@ -103,14 +113,16 @@ model-index:
103
  config: mathemakitten--winobias_antistereotype_test_cot_v3
104
  split: test
105
  metrics:
106
- - name: Accuracy
107
- type: accuracy
108
  value: 0.38106796116504854
 
109
  verified: true
110
- - name: Loss
111
- type: loss
112
  value: 1.2352868161494008
 
113
  verified: true
 
114
  - task:
115
  type: zero-shot-classification
116
  name: Zero-Shot Text Classification
@@ -120,14 +132,16 @@ model-index:
120
  config: mathemakitten--winobias_antistereotype_test_v5
121
  split: test
122
  metrics:
123
- - name: Accuracy
124
- type: accuracy
125
  value: 0.4029126213592233
 
126
  verified: true
127
- - name: Loss
128
- type: loss
129
  value: 1.3491194838988576
 
130
  verified: true
 
131
  ---
132
 
133
  # OPT : Open Pre-trained Transformer Language Models
 
1
  ---
2
  language: en
3
+ license: other
4
  tags:
5
  - text-generation
6
  - opt
7
+ inference: false
8
  commercial: false
9
  model-index:
10
  - name: inverse-scaling/opt-2.7b_eval
 
18
  config: inverse-scaling--NeQA
19
  split: train
20
  metrics:
21
+ - type: accuracy
 
22
  value: 0.5266666666666666
23
+ name: Accuracy
24
  verified: true
25
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmIwMTQ3ZjkzYWM2ZDQzNzgwMWZiZTQzZTY1MjcwNTM4YWI5NDg5N2EyNzJmMjI1MjdiOTk4ZDJlMzI1MDhhMCIsInZlcnNpb24iOjF9.nLyuA5mmpTqttnYFM4jLwpfYG87evd1SVnzlA149qagPUVkrHEgNAEV3MDYzBKm7aDWMB-SYxHYZab7gbzbFAA
26
+ - type: loss
27
  value: 0.7040334887305896
28
+ name: Loss
29
  verified: true
30
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2M4ZmI0NjQxMTE3MGI0NTQ3NjY3NzExNWZjNWIzZTdkNjA3NTVlNjQ5ODllMmNhZWQwMTEzYTI2ZTU5ZWRiMSIsInZlcnNpb24iOjF9.7YOIf1gfgzqMEnp5rScnVap6Ne607-FNWWkux9ohHb2jai3qKH73TBx0KjnUh2a-rx5CLyiDWKu2Zq2CIxrvDw
31
  - task:
32
  type: zero-shot-classification
33
  name: Zero-Shot Text Classification
 
37
  config: inverse-scaling--quote-repetition
38
  split: train
39
  metrics:
40
+ - type: accuracy
 
41
  value: 0.9433333333333334
42
+ name: Accuracy
43
  verified: true
44
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjJlYjU4NzY1YjU2ZmZjYjA4YmU3MGFmYWVkZmZjZWY2NzE3ODU2Y2RlNjdkZDNmYTc2MDhiNzA2MzQ5ZDVhYSIsInZlcnNpb24iOjF9.5n5u4QxFudSeAMIWzXBabBwzQJXxXomlL4k3UZWghrMwg2yR_ZMQ-T1XPvj4QX7znzn2OEceL4XhcyGV_lslAg
45
+ - type: loss
46
  value: 0.08805314021493173
47
+ name: Loss
48
  verified: true
49
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWNkOTFjYmU1OGM3YjEyMzhkNDI5OGE2ZjgxMWJhOTc3YjgxNDYxMWE4NjFkNWVmYjIwMmRlZDI5YTBkYjAwOCIsInZlcnNpb24iOjF9.7wQKzALinVldcU7gbodn4nxBiC1uISsf8yRaqIDB9BAbIRP4sdE_2H3PGTXAd-I7srGO_Ru8fnUhY5yZt1lmBg
50
  - task:
51
  type: zero-shot-classification
52
  name: Zero-Shot Text Classification
 
56
  config: inverse-scaling--redefine-math
57
  split: train
58
  metrics:
59
+ - type: accuracy
 
60
  value: 0.72
61
+ name: Accuracy
62
  verified: true
63
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmE4YWE1MzQ1YTgyMjhmMzljNzlhOGJhZjk3ZGU1YzBmYzk2NjljNDEyYWZkYmI1NzM5Y2MyNDkwNDc2MjdkMSIsInZlcnNpb24iOjF9.kx2jS5AMDdD9tiNA_11-1oztP8B41AUeY5HiqsgbUIGUpZbA-FL4FCd9c6f2MUb7WbsGKUax4-gLUDm-XKl6Cw
64
+ - type: loss
65
  value: 0.6120818952802155
66
+ name: Loss
67
  verified: true
68
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTQyMGE1ODcxNDVkMThkZjZhMzQzNTQwZmY1ZTg0YjVkMmIwNDc0NWQzM2JmZTc0YWQzYWNiNWU4M2RlZDY5ZiIsInZlcnNpb24iOjF9.n5b4tXIiRrT9bS3n1aJ5W-RLmRZ5Ro0uQ0-G7spzDGf1w0zP5H05ZlNN3gnEGdApKlmqsIhfwGZqMU_XoVCzCg
69
  - task:
70
  type: zero-shot-classification
71
  name: Zero-Shot Text Classification
 
75
  config: inverse-scaling--hindsight-neglect-10shot
76
  split: train
77
  metrics:
78
+ - type: accuracy
 
79
  value: 0.44761904761904764
80
+ name: Accuracy
81
  verified: true
82
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTUzZTkyMDQ5OTI5ZjkxM2FmMWE5Mzg1NTFmNjg3MTRhMWZlYWNlZDZhMTkxOTZiNjc0Yjc5MTg2NTJiZGNjNyIsInZlcnNpb24iOjF9.AspGLsz8cCCmVIilO-nKuYmNcHr83f3NjnY_e5_vSaKUw22VyMixSGOowbLfROl3Lh2Rfibh3PHnhTyprQnqDA
83
+ - type: loss
84
  value: 0.8747565217197888
85
+ name: Loss
86
  verified: true
87
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTZjYWJhNTMzZjFlYzVjMjdhZjQyNDJkYzgyZmRjYTgzZjlmMjRhMTljZGU5N2E0ODBhOGI1NzdjZDM2NWEzYSIsInZlcnNpb24iOjF9.N7zwfGpX8v6CRvhyUlJ_znKVJyo238fDcL5CQkDWAWBWRtfxCoPXE_Xk69G7UBvrbQLPpPTuTPVUMVh7GGi-Dw
88
  - task:
89
  type: zero-shot-classification
90
  name: Zero-Shot Text Classification
 
94
  config: mathemakitten--winobias_antistereotype_test_cot_v1
95
  split: test
96
  metrics:
97
+ - type: accuracy
 
98
  value: 0.39805825242718446
99
+ name: Accuracy
100
  verified: true
101
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGUyODYzYjg5MzI1MDEyZTk2OGY3ZTdlYThlZDE5YzVmMzNlMjI1N2JlYmM3NmMxM2VlMzM4ODFlNjJkZDdkOSIsInZlcnNpb24iOjF9.2iaV9PkSnUUYldLb6krXbCPXOkPqibzVWyqkBzp4OKtcJW5z9y_Es8W81vBaAdXxGoojKYKdpraovzf7SQAdDQ
102
+ - type: loss
103
  value: 1.3472958901782706
104
+ name: Loss
105
  verified: true
106
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDZmOWY1ODdkMzJmMmM2MzM3OGM4MzU4MmE3MmQyM2Q4MjQ2MzNjM2E3ZTcyNDQyNzVhMzVmZmMwYWY5OTE0YiIsInZlcnNpb24iOjF9.xIVeCNxXTgjJLu6EtlcXzuA4J3HNEyFEvoDovF1hH_-sUwZqMMApVl-JC63lnxCs1BxeW2XHNl3CkNHEVii2CQ
107
  - task:
108
  type: zero-shot-classification
109
  name: Zero-Shot Text Classification
 
113
  config: mathemakitten--winobias_antistereotype_test_cot_v3
114
  split: test
115
  metrics:
116
+ - type: accuracy
 
117
  value: 0.38106796116504854
118
+ name: Accuracy
119
  verified: true
120
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODhmMjYzMzg3MGE1ZDg4ZWZiM2Q4NmE1N2YwODZiNzBiNjRhODE4NjIwZjI3Y2ZlMjY4NWU1OTFhMDUxMDA0NCIsInZlcnNpb24iOjF9.97nWVkITOK8236d9JNEUQ3M3xsL0cSlHbPvnUU0Va0kkgCMnqI62kJF0_1JMb36tD9n243RnWp6rrpfSi2IUCA
121
+ - type: loss
122
  value: 1.2352868161494008
123
+ name: Loss
124
  verified: true
125
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGZlY2NkYWJkMmE4MWNjZDFjZWRlZWY3OTIzMzc4MTU0ZThhMmQ0ZTAyYTEyMjZmNWNhODMzY2Q4YmNlZjRlYyIsInZlcnNpb24iOjF9.fPAkjMH3VU2AAE-EVKhEZTNM47LrFUCF-EqGE2C8NyY0yU3o0IE9xBnF3kn9F-McsnTnHB9fIuVk8B6OL_OEDg
126
  - task:
127
  type: zero-shot-classification
128
  name: Zero-Shot Text Classification
 
132
  config: mathemakitten--winobias_antistereotype_test_v5
133
  split: test
134
  metrics:
135
+ - type: accuracy
 
136
  value: 0.4029126213592233
137
+ name: Accuracy
138
  verified: true
139
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2RmNTY3YzYxZDljZmFmOGQzMWIxODBmNTNlNDAxOTE4NjJmNzZmZjY1NGE1YjRjMzlhMGRiOWExYzQ3Y2ViOSIsInZlcnNpb24iOjF9.8mFB5qYQUOkDXoNR0u-a9AbNDb-w2jnBH0seY_01pp_magRKFif9tBiTfV5qHFoO0wSHnoRBANa-psn6mv_vCw
140
+ - type: loss
141
  value: 1.3491194838988576
142
+ name: Loss
143
  verified: true
144
+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODA2MGFmYmEwMDc4YzY3MjI3OWE2ZjA4MDUxMzFlYWM0NGMxOTVjZTIzZGFkNTA5MWVmZGI1MmZiMjc5MWViYiIsInZlcnNpb24iOjF9.X78VtBUzeKI931pe1JdcUAaE7CwKPcaur4TjnAAIJp7DBxyC8QSS2r2LpgvO4p6Q-HnSBXGpK23MCCkDPeQIAA
145
  ---
146
 
147
  # OPT : Open Pre-trained Transformer Language Models