Add evaluation results on the default config and validation_matched split of multi_nli
#6
by
autoevaluator
HF staff
- opened
README.md
CHANGED
@@ -8,6 +8,73 @@ datasets:
|
|
8 |
- multi_nli
|
9 |
- wikipedia
|
10 |
- bookcorpus
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
# roberta-large-mnli
|
|
|
8 |
- multi_nli
|
9 |
- wikipedia
|
10 |
- bookcorpus
|
11 |
+
model-index:
|
12 |
+
- name: roberta-large-mnli
|
13 |
+
results:
|
14 |
+
- task:
|
15 |
+
type: natural-language-inference
|
16 |
+
name: Natural Language Inference
|
17 |
+
dataset:
|
18 |
+
name: multi_nli
|
19 |
+
type: multi_nli
|
20 |
+
config: default
|
21 |
+
split: validation_matched
|
22 |
+
metrics:
|
23 |
+
- type: accuracy
|
24 |
+
value: 0.9059602649006623
|
25 |
+
name: Accuracy
|
26 |
+
verified: true
|
27 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDc2ZDk0NDM5YmNkYTJlMGFiNjVjYjJjNmQ0YTQ2M2ExNTA2NDhmMDA1MWU0YzY2YmNmNjJlM2QwODI2Zjc2OSIsInZlcnNpb24iOjF9.vipeBFdoRHhd43kGJ7dtgjBRCugxCgd2-FWjgtsyTVH9hRdwau4IcWVN0Tw1ybwKxSjHYIJtX9-ngofK6sFWCg
|
28 |
+
- type: f1
|
29 |
+
value: 0.9051030334294846
|
30 |
+
name: F1 Macro
|
31 |
+
verified: true
|
32 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTZhZWY1ZWEyZjY5NmExOTBjZGU4ZDgwOWE0NThiNTBkNTZhNmUwMGU5MmVjODZlZjk0ODhmOTlkZGUzMmIyNSIsInZlcnNpb24iOjF9.i-Q2k0LVK8K1wPZdnsWYaUU8MpIYaHJtn7DyLc_KpTy98RPGJ4y-sZMMaY57RLeSTnaFK779eGqGu95Fnlv0BA
|
33 |
+
- type: f1
|
34 |
+
value: 0.9059602649006623
|
35 |
+
name: F1 Micro
|
36 |
+
verified: true
|
37 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzUxMDgzMGZhMmZlMjgyMjgxNDBjZWYzOTBmYWRlMzFiOTg0YzgzYzYyNzI2OGMxMTkzNmM1M2IyNzgzMzkyYyIsInZlcnNpb24iOjF9.7mo7aWPeBjcJF2A4C4k3Y0u5Y0tmHvCQJSxi59Dc3Jx7i613VDB95_iHatXAovfe7vNE9uN0QG7Q4BHNQnFrAg
|
38 |
+
- type: f1
|
39 |
+
value: 0.9057702464648203
|
40 |
+
name: F1 Weighted
|
41 |
+
verified: true
|
42 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTc1NDc1N2I2N2NjMjI5NmIwMWUwNzMxZDQ3MjMwYzE3YWM3NjY0N2RiN2ViZTIyMjA0ZTFjZWNkMWVmMmRhYiIsInZlcnNpb24iOjF9.kgu7F32wG957pLqDU_d5Mbq8SlywzgrLMmxEcVlH5sLelvUcNCUVkD-qUTDDVjbvrwf8O3wHlaHzAGxgRKz-CQ
|
43 |
+
- type: precision
|
44 |
+
value: 0.9051381734323508
|
45 |
+
name: Precision Macro
|
46 |
+
verified: true
|
47 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjIyYzIwOWIwOGFhZGU1ZjA2ZjRiYmZkYTY0YWVmNzIwNDdhMzE0ZjBjZWJhZjE0NjZhZjg2YWZhYzA5MjI0OSIsInZlcnNpb24iOjF9.i_EfBOn9_ns2hTOXPfB9yEWYj45DEsleGA0IY0k9C8CY6S8heuINKtFQba_SpPblQMro93TOBYF-iQnHPUD0CA
|
48 |
+
- type: precision
|
49 |
+
value: 0.9059602649006623
|
50 |
+
name: Precision Micro
|
51 |
+
verified: true
|
52 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2UxODE1YzFhZmVlM2Q1YjQ2MmNlZDFlYzQyZjQ4YzJiOTk2YTA2YzRhZjM1ZDUzYTA0NzRlMzk1NzVmODU5YSIsInZlcnNpb24iOjF9.EaQyZ1n1_gLwcmXwHpWe6laJhaZ_dEIbXDDeAMuTKvED1A_dwdsjsfAQ3JbEgV56kgMtcbeGer9339ocqLEIBQ
|
53 |
+
- type: precision
|
54 |
+
value: 0.9056708619045606
|
55 |
+
name: Precision Weighted
|
56 |
+
verified: true
|
57 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjFhN2QwZGJlYWMyOTQ4MzAzYTFiMTcwNjY2NGQxNjkwNzI3ZDc4MmY4Y2Y2ZmMzMDQwYzYzMGI3YjUyYzJiMiIsInZlcnNpb24iOjF9.iWiXehYIb3AKBLUCR6lVdoCoANwyjNb1uZvtxHddFYvLUIwQzBGaAH-_S1pRaEjEZpoa4tarCj5cmw2KTSEwBA
|
58 |
+
- type: recall
|
59 |
+
value: 0.905161576355605
|
60 |
+
name: Recall Macro
|
61 |
+
verified: true
|
62 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWNiOTc3YmFjODEzZTZmY2ZhZjliNDNkMjBmNGUwNmFjNWRjZmUyYWViZTVmNDQ2N2U0ZDgzODY3ODdmY2U3OSIsInZlcnNpb24iOjF9.hg_oj1175LM3r9WyhuBL4p8kjEaWvZLPH16LEo9qa18PWBIxD1qPmzcB-ADlT1l9yAw7f7MFYdd0WFawEVB_Bw
|
63 |
+
- type: recall
|
64 |
+
value: 0.9059602649006623
|
65 |
+
name: Recall Micro
|
66 |
+
verified: true
|
67 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzhiNTQzYTE1NmQyZjkzYmRjMWE4ZDVkZjFmODliYTU0NDQ0MWUyYTIyNDFiMTY5ZmYxMGFkMmIyYTIyNDZjMCIsInZlcnNpb24iOjF9.AY7djK19OtjQf1ZlLqTObg71Jskmb_5vkMXqB31Pq-Qg1YXu8uHn6-b7nDMSHA8xcoWbBEvPwPxQnnpQ8-hIDw
|
68 |
+
- type: recall
|
69 |
+
value: 0.9059602649006623
|
70 |
+
name: Recall Weighted
|
71 |
+
verified: true
|
72 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2U4NDQxM2E1ODgyOTY1ZDc2ODE4NzNmZDEwMTVkNTYzZTQ3M2EzMDRlNmE0Mjc5ZjIzZWQ1YjRlNTFlMGQ0MiIsInZlcnNpb24iOjF9.qN-tG13P4Cuw42nT3zBm4ox7CPrP7ShPXli0Jtf7-ycGD0NIYkHbPqoXgtIawrl-KD8wu8HqEniAt5kjbXjDDA
|
73 |
+
- type: loss
|
74 |
+
value: 0.28174877166748047
|
75 |
+
name: loss
|
76 |
+
verified: true
|
77 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2UyMzdlODViNTBjMmJiNmIzMDdjZDg1MjgxZWU4NGYwM2U4ZmJlN2U5ZmVhYTdlMDExZWExY2IyOWViZjE1NiIsInZlcnNpb24iOjF9.FkiwiKl2c8KpGYlP-xtnXumzoOGL_Y8XJQ_ScpXhS8slztLzjYNESo9TXHzb_-_YO-o3RN84pBGpOqEPDm4UBw
|
78 |
---
|
79 |
|
80 |
# roberta-large-mnli
|