update model card README.md
Browse files
README.md
CHANGED
@@ -21,7 +21,7 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
-
value: 0.
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
29 |
|
30 |
# plant-seedlings-model
|
31 |
|
32 |
-
This model is a fine-tuned version of [
|
33 |
It achieves the following results on the evaluation set:
|
34 |
-
- Loss: 0.
|
35 |
-
- Accuracy: 0.
|
36 |
|
37 |
## Model description
|
38 |
|
@@ -64,21 +64,21 @@ The following hyperparameters were used during training:
|
|
64 |
|
65 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
66 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
67 |
-
|
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
71 |
-
| 0.
|
72 |
-
| 0.
|
73 |
-
| 0.
|
74 |
-
| 0.
|
75 |
-
| 0.
|
76 |
-
| 0.
|
77 |
-
| 0.
|
78 |
-
| 0.
|
79 |
-
| 0.
|
80 |
-
| 0.
|
81 |
-
| 0.
|
82 |
|
83 |
|
84 |
### Framework versions
|
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
+
value: 0.978343949044586
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
29 |
|
30 |
# plant-seedlings-model
|
31 |
|
32 |
+
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the imagefolder dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
+
- Loss: 0.1235
|
35 |
+
- Accuracy: 0.9783
|
36 |
|
37 |
## Model description
|
38 |
|
|
|
64 |
|
65 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
66 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
67 |
+
| 0.3236 | 1.27 | 500 | 0.2747 | 0.9019 |
|
68 |
+
| 0.2273 | 2.54 | 1000 | 0.3031 | 0.9038 |
|
69 |
+
| 0.082 | 3.82 | 1500 | 0.2103 | 0.9280 |
|
70 |
+
| 0.061 | 5.09 | 2000 | 0.2235 | 0.9408 |
|
71 |
+
| 0.0668 | 6.36 | 2500 | 0.1633 | 0.9554 |
|
72 |
+
| 0.0739 | 7.63 | 3000 | 0.1561 | 0.9586 |
|
73 |
+
| 0.0836 | 8.91 | 3500 | 0.1904 | 0.9446 |
|
74 |
+
| 0.0078 | 10.18 | 4000 | 0.2045 | 0.9535 |
|
75 |
+
| 0.087 | 11.45 | 4500 | 0.4487 | 0.9146 |
|
76 |
+
| 0.0119 | 12.72 | 5000 | 0.2162 | 0.9567 |
|
77 |
+
| 0.0002 | 13.99 | 5500 | 0.1157 | 0.9758 |
|
78 |
+
| 0.0001 | 15.27 | 6000 | 0.1199 | 0.9771 |
|
79 |
+
| 0.0001 | 16.54 | 6500 | 0.1215 | 0.9790 |
|
80 |
+
| 0.0001 | 17.81 | 7000 | 0.1223 | 0.9790 |
|
81 |
+
| 0.0001 | 19.08 | 7500 | 0.1235 | 0.9783 |
|
82 |
|
83 |
|
84 |
### Framework versions
|