Add evaluation results on banking77 dataset
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [banking77](https://huggingface.co/datasets/banking77) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-f87a1758-7384799).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=banking77).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=banking77).
README.md
CHANGED
@@ -2,28 +2,81 @@
|
|
2 |
tags: autotrain
|
3 |
language: en
|
4 |
widget:
|
5 |
-
- text:
|
6 |
datasets:
|
7 |
- banking77
|
8 |
model-index:
|
9 |
- name: BERT-Banking77
|
10 |
results:
|
11 |
-
- task:
|
12 |
name: Text Classification
|
13 |
type: text-classification
|
14 |
dataset:
|
15 |
-
name:
|
16 |
type: banking77
|
17 |
metrics:
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
27 |
co2_eq_emissions: 0.03330651014155927
|
28 |
---
|
29 |
# `BERT-Banking77` Model Trained Using AutoTrain
|
|
|
2 |
tags: autotrain
|
3 |
language: en
|
4 |
widget:
|
5 |
+
- text: I am still waiting on my card?
|
6 |
datasets:
|
7 |
- banking77
|
8 |
model-index:
|
9 |
- name: BERT-Banking77
|
10 |
results:
|
11 |
+
- task:
|
12 |
name: Text Classification
|
13 |
type: text-classification
|
14 |
dataset:
|
15 |
+
name: BANKING77
|
16 |
type: banking77
|
17 |
metrics:
|
18 |
+
- name: Accuracy
|
19 |
+
type: accuracy
|
20 |
+
value: 92.64
|
21 |
+
- name: Macro F1
|
22 |
+
type: macro-f1
|
23 |
+
value: 92.64
|
24 |
+
- name: Weighted F1
|
25 |
+
type: weighted-f1
|
26 |
+
value: 92.6
|
27 |
+
- task:
|
28 |
+
type: text-classification
|
29 |
+
name: Text Classification
|
30 |
+
dataset:
|
31 |
+
name: banking77
|
32 |
+
type: banking77
|
33 |
+
config: default
|
34 |
+
split: test
|
35 |
+
metrics:
|
36 |
+
- name: Accuracy
|
37 |
+
type: accuracy
|
38 |
+
value: 0.9275974025974026
|
39 |
+
verified: true
|
40 |
+
- name: Precision Macro
|
41 |
+
type: precision
|
42 |
+
value: 0.9305185253845069
|
43 |
+
verified: true
|
44 |
+
- name: Precision Micro
|
45 |
+
type: precision
|
46 |
+
value: 0.9275974025974026
|
47 |
+
verified: true
|
48 |
+
- name: Precision Weighted
|
49 |
+
type: precision
|
50 |
+
value: 0.9305185253845071
|
51 |
+
verified: true
|
52 |
+
- name: Recall Macro
|
53 |
+
type: recall
|
54 |
+
value: 0.9275974025974028
|
55 |
+
verified: true
|
56 |
+
- name: Recall Micro
|
57 |
+
type: recall
|
58 |
+
value: 0.9275974025974026
|
59 |
+
verified: true
|
60 |
+
- name: Recall Weighted
|
61 |
+
type: recall
|
62 |
+
value: 0.9275974025974026
|
63 |
+
verified: true
|
64 |
+
- name: F1 Macro
|
65 |
+
type: f1
|
66 |
+
value: 0.927623314966026
|
67 |
+
verified: true
|
68 |
+
- name: F1 Micro
|
69 |
+
type: f1
|
70 |
+
value: 0.9275974025974026
|
71 |
+
verified: true
|
72 |
+
- name: F1 Weighted
|
73 |
+
type: f1
|
74 |
+
value: 0.927623314966026
|
75 |
+
verified: true
|
76 |
+
- name: loss
|
77 |
+
type: loss
|
78 |
+
value: 0.3199225962162018
|
79 |
+
verified: true
|
80 |
co2_eq_emissions: 0.03330651014155927
|
81 |
---
|
82 |
# `BERT-Banking77` Model Trained Using AutoTrain
|