Update README.md
Browse files
README.md
CHANGED
|
@@ -4,11 +4,11 @@ base_model: microsoft/swinv2-base-patch4-window12-192-22k
|
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
datasets:
|
| 7 |
-
-
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
| 10 |
model-index:
|
| 11 |
-
- name: pvc-quality-swinv2-base
|
| 12 |
results:
|
| 13 |
- task:
|
| 14 |
name: Image Classification
|
|
@@ -23,14 +23,15 @@ model-index:
|
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
value: 0.5317220543806647
|
|
|
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 29 |
should probably proofread and complete it, then remove this comment. -->
|
| 30 |
|
| 31 |
-
# pvc-quality-swinv2-base
|
| 32 |
|
| 33 |
-
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on the
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
- Loss: 1.2396
|
| 36 |
- Accuracy: 0.5317
|
|
@@ -84,4 +85,4 @@ The following hyperparameters were used during training:
|
|
| 84 |
- Transformers 4.34.1
|
| 85 |
- Pytorch 2.0.0+cu118
|
| 86 |
- Datasets 2.14.5
|
| 87 |
-
- Tokenizers 0.14.0
|
|
|
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
datasets:
|
| 7 |
+
- p1atdev/pvc
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
| 10 |
model-index:
|
| 11 |
+
- name: pvc-quality-swinv2-base
|
| 12 |
results:
|
| 13 |
- task:
|
| 14 |
name: Image Classification
|
|
|
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
value: 0.5317220543806647
|
| 26 |
+
library_name: transformers
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 30 |
should probably proofread and complete it, then remove this comment. -->
|
| 31 |
|
| 32 |
+
# pvc-quality-swinv2-base
|
| 33 |
|
| 34 |
+
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on the [pvc figure images dataset](https://huggingface.co/datasets/p1atdev/pvc).
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
- Loss: 1.2396
|
| 37 |
- Accuracy: 0.5317
|
|
|
|
| 85 |
- Transformers 4.34.1
|
| 86 |
- Pytorch 2.0.0+cu118
|
| 87 |
- Datasets 2.14.5
|
| 88 |
+
- Tokenizers 0.14.0
|