Add evaluation results on the qnli config of glue
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the qnli config of the [glue](https://huggingface.co/datasets/glue) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-glue-91d4fe29-14115933).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=glue).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=glue).
README.md
CHANGED
@@ -22,6 +22,39 @@ model-index:
|
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
value: 0.9150649826102873
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
value: 0.9150649826102873
|
25 |
+
- task:
|
26 |
+
type: natural-language-inference
|
27 |
+
name: Natural Language Inference
|
28 |
+
dataset:
|
29 |
+
name: glue
|
30 |
+
type: glue
|
31 |
+
config: qnli
|
32 |
+
split: validation
|
33 |
+
metrics:
|
34 |
+
- name: Accuracy
|
35 |
+
type: accuracy
|
36 |
+
value: 0.914881933003844
|
37 |
+
verified: true
|
38 |
+
- name: Precision
|
39 |
+
type: precision
|
40 |
+
value: 0.9195906432748538
|
41 |
+
verified: true
|
42 |
+
- name: Recall
|
43 |
+
type: recall
|
44 |
+
value: 0.9112640347700108
|
45 |
+
verified: true
|
46 |
+
- name: AUC
|
47 |
+
type: auc
|
48 |
+
value: 0.9718281171793548
|
49 |
+
verified: true
|
50 |
+
- name: F1
|
51 |
+
type: f1
|
52 |
+
value: 0.9154084045843187
|
53 |
+
verified: true
|
54 |
+
- name: loss
|
55 |
+
type: loss
|
56 |
+
value: 0.21421395242214203
|
57 |
+
verified: true
|
58 |
---
|
59 |
|
60 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|