Abhishek Thakur
commited on
Commit
·
e014e00
1
Parent(s):
4371161
Add evaluation results on mnist
Browse filesBeep boop, I am a bot from Hugging Face's automatic evaluation service! Your model has been evaluated on the [mnist](https://huggingface.co/datasets/mnist) dataset, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-1cd37ed6-b663-40fc-b2e7-0e90c529b179-223264). Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mnist). Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/autoevaluate?dataset=mnist).
README.md
CHANGED
|
@@ -20,6 +20,63 @@ model-index:
|
|
| 20 |
- name: Accuracy
|
| 21 |
type: accuracy
|
| 22 |
value: 0.9833333333333333
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
---
|
| 24 |
|
| 25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 20 |
- name: Accuracy
|
| 21 |
type: accuracy
|
| 22 |
value: 0.9833333333333333
|
| 23 |
+
- task:
|
| 24 |
+
type: image-classification
|
| 25 |
+
name: Image Classification
|
| 26 |
+
dataset:
|
| 27 |
+
name: mnist
|
| 28 |
+
type: mnist
|
| 29 |
+
config: mnist
|
| 30 |
+
split: test
|
| 31 |
+
metrics:
|
| 32 |
+
- name: Accuracy
|
| 33 |
+
type: accuracy
|
| 34 |
+
value: 0.9837
|
| 35 |
+
verified: true
|
| 36 |
+
- name: Precision Macro
|
| 37 |
+
type: precision
|
| 38 |
+
value: 0.9836633320435293
|
| 39 |
+
verified: true
|
| 40 |
+
- name: Precision Micro
|
| 41 |
+
type: precision
|
| 42 |
+
value: 0.9837
|
| 43 |
+
verified: true
|
| 44 |
+
- name: Precision Weighted
|
| 45 |
+
type: precision
|
| 46 |
+
value: 0.9837581874425055
|
| 47 |
+
verified: true
|
| 48 |
+
- name: Recall Macro
|
| 49 |
+
type: recall
|
| 50 |
+
value: 0.9831030184134061
|
| 51 |
+
verified: true
|
| 52 |
+
- name: Recall Micro
|
| 53 |
+
type: recall
|
| 54 |
+
value: 0.9837
|
| 55 |
+
verified: true
|
| 56 |
+
- name: Recall Weighted
|
| 57 |
+
type: recall
|
| 58 |
+
value: 0.9837
|
| 59 |
+
verified: true
|
| 60 |
+
- name: F1 Macro
|
| 61 |
+
type: f1
|
| 62 |
+
value: 0.983311507665402
|
| 63 |
+
verified: true
|
| 64 |
+
- name: F1 Micro
|
| 65 |
+
type: f1
|
| 66 |
+
value: 0.9837
|
| 67 |
+
verified: true
|
| 68 |
+
- name: F1 Weighted
|
| 69 |
+
type: f1
|
| 70 |
+
value: 0.9836627364250822
|
| 71 |
+
verified: true
|
| 72 |
+
- name: loss
|
| 73 |
+
type: loss
|
| 74 |
+
value: 0.051053039729595184
|
| 75 |
+
verified: true
|
| 76 |
+
- name: matthews_correlation
|
| 77 |
+
type: matthews_correlation
|
| 78 |
+
value: 0.9818945021449504
|
| 79 |
+
verified: true
|
| 80 |
---
|
| 81 |
|
| 82 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|