Add evaluation results on the default config and test split of emotion
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and test split of the [emotion](https://huggingface.co/datasets/emotion) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-emotion-default-fe1aa0-1485654301).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=emotion).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=emotion).
README.md
CHANGED
@@ -24,6 +24,59 @@ model-index:
|
|
24 |
- name: F1
|
25 |
type: f1
|
26 |
value: 0.9273822408882375
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
24 |
- name: F1
|
25 |
type: f1
|
26 |
value: 0.9273822408882375
|
27 |
+
- task:
|
28 |
+
type: text-classification
|
29 |
+
name: Text Classification
|
30 |
+
dataset:
|
31 |
+
name: emotion
|
32 |
+
type: emotion
|
33 |
+
config: default
|
34 |
+
split: test
|
35 |
+
metrics:
|
36 |
+
- name: Accuracy
|
37 |
+
type: accuracy
|
38 |
+
value: 0.919
|
39 |
+
verified: true
|
40 |
+
- name: Precision Macro
|
41 |
+
type: precision
|
42 |
+
value: 0.8882001804445858
|
43 |
+
verified: true
|
44 |
+
- name: Precision Micro
|
45 |
+
type: precision
|
46 |
+
value: 0.919
|
47 |
+
verified: true
|
48 |
+
- name: Precision Weighted
|
49 |
+
type: precision
|
50 |
+
value: 0.9194695149914663
|
51 |
+
verified: true
|
52 |
+
- name: Recall Macro
|
53 |
+
type: recall
|
54 |
+
value: 0.857858142469294
|
55 |
+
verified: true
|
56 |
+
- name: Recall Micro
|
57 |
+
type: recall
|
58 |
+
value: 0.919
|
59 |
+
verified: true
|
60 |
+
- name: Recall Weighted
|
61 |
+
type: recall
|
62 |
+
value: 0.919
|
63 |
+
verified: true
|
64 |
+
- name: F1 Macro
|
65 |
+
type: f1
|
66 |
+
value: 0.8684381937860847
|
67 |
+
verified: true
|
68 |
+
- name: F1 Micro
|
69 |
+
type: f1
|
70 |
+
value: 0.919
|
71 |
+
verified: true
|
72 |
+
- name: F1 Weighted
|
73 |
+
type: f1
|
74 |
+
value: 0.9182406234430719
|
75 |
+
verified: true
|
76 |
+
- name: loss
|
77 |
+
type: loss
|
78 |
+
value: 0.21632428467273712
|
79 |
+
verified: true
|
80 |
---
|
81 |
|
82 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|