hkivancoral
commited on
Commit
•
3806c31
1
Parent(s):
cba8ea7
End of training
Browse files- README.md +53 -53
- model.safetensors +1 -1
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 1.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
@@ -65,56 +65,56 @@ The following hyperparameters were used during training:
|
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
68 |
-
| 1.
|
69 |
-
| 1.
|
70 |
-
| 1.
|
71 |
-
| 1.
|
72 |
-
| 1.
|
73 |
-
| 1.
|
74 |
-
| 1.
|
75 |
-
| 1.
|
76 |
-
| 1.
|
77 |
-
| 1.
|
78 |
-
| 1.
|
79 |
-
| 1.
|
80 |
-
| 1.
|
81 |
-
| 1.
|
82 |
-
| 1.
|
83 |
-
| 1.
|
84 |
-
| 1.
|
85 |
-
| 1.
|
86 |
-
| 1.
|
87 |
-
| 1.
|
88 |
-
| 1.
|
89 |
-
| 1.
|
90 |
-
| 1.
|
91 |
-
| 1.
|
92 |
-
| 1.
|
93 |
-
| 1.
|
94 |
-
| 1.
|
95 |
-
| 1.
|
96 |
-
| 1.
|
97 |
-
| 1.
|
98 |
-
| 1.
|
99 |
-
| 1.
|
100 |
-
| 1.
|
101 |
-
| 1.
|
102 |
-
| 1.
|
103 |
-
| 1.
|
104 |
-
| 1.
|
105 |
-
| 1.
|
106 |
-
| 1.
|
107 |
-
| 1.
|
108 |
-
| 1.
|
109 |
-
| 1.
|
110 |
-
| 1.
|
111 |
-
| 1.
|
112 |
-
| 1.
|
113 |
-
| 1.
|
114 |
-
| 1.
|
115 |
-
| 1.
|
116 |
-
| 1.
|
117 |
-
| 1.
|
118 |
|
119 |
|
120 |
### Framework versions
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.2
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 1.4758
|
36 |
+
- Accuracy: 0.2
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
68 |
+
| 1.5631 | 1.0 | 27 | 1.5965 | 0.2 |
|
69 |
+
| 1.5261 | 2.0 | 54 | 1.5854 | 0.1778 |
|
70 |
+
| 1.5551 | 3.0 | 81 | 1.5758 | 0.2 |
|
71 |
+
| 1.5522 | 4.0 | 108 | 1.5674 | 0.2 |
|
72 |
+
| 1.4767 | 5.0 | 135 | 1.5601 | 0.2 |
|
73 |
+
| 1.4799 | 6.0 | 162 | 1.5535 | 0.2 |
|
74 |
+
| 1.5065 | 7.0 | 189 | 1.5472 | 0.2 |
|
75 |
+
| 1.5301 | 8.0 | 216 | 1.5418 | 0.2 |
|
76 |
+
| 1.4981 | 9.0 | 243 | 1.5367 | 0.2 |
|
77 |
+
| 1.4696 | 10.0 | 270 | 1.5320 | 0.2 |
|
78 |
+
| 1.4575 | 11.0 | 297 | 1.5277 | 0.2 |
|
79 |
+
| 1.4826 | 12.0 | 324 | 1.5238 | 0.2 |
|
80 |
+
| 1.4275 | 13.0 | 351 | 1.5196 | 0.2 |
|
81 |
+
| 1.4684 | 14.0 | 378 | 1.5162 | 0.2 |
|
82 |
+
| 1.4436 | 15.0 | 405 | 1.5135 | 0.2 |
|
83 |
+
| 1.4518 | 16.0 | 432 | 1.5107 | 0.2 |
|
84 |
+
| 1.4184 | 17.0 | 459 | 1.5080 | 0.2 |
|
85 |
+
| 1.4127 | 18.0 | 486 | 1.5055 | 0.2 |
|
86 |
+
| 1.4162 | 19.0 | 513 | 1.5030 | 0.2 |
|
87 |
+
| 1.4552 | 20.0 | 540 | 1.5007 | 0.2 |
|
88 |
+
| 1.4347 | 21.0 | 567 | 1.4985 | 0.2 |
|
89 |
+
| 1.4312 | 22.0 | 594 | 1.4966 | 0.2 |
|
90 |
+
| 1.4267 | 23.0 | 621 | 1.4951 | 0.2 |
|
91 |
+
| 1.404 | 24.0 | 648 | 1.4936 | 0.2 |
|
92 |
+
| 1.4395 | 25.0 | 675 | 1.4920 | 0.2 |
|
93 |
+
| 1.4235 | 26.0 | 702 | 1.4904 | 0.2 |
|
94 |
+
| 1.4259 | 27.0 | 729 | 1.4890 | 0.2 |
|
95 |
+
| 1.4251 | 28.0 | 756 | 1.4876 | 0.2 |
|
96 |
+
| 1.4285 | 29.0 | 783 | 1.4861 | 0.2 |
|
97 |
+
| 1.4033 | 30.0 | 810 | 1.4849 | 0.2 |
|
98 |
+
| 1.4061 | 31.0 | 837 | 1.4838 | 0.2 |
|
99 |
+
| 1.3751 | 32.0 | 864 | 1.4828 | 0.2 |
|
100 |
+
| 1.4088 | 33.0 | 891 | 1.4820 | 0.2 |
|
101 |
+
| 1.402 | 34.0 | 918 | 1.4811 | 0.2 |
|
102 |
+
| 1.4082 | 35.0 | 945 | 1.4803 | 0.2 |
|
103 |
+
| 1.4076 | 36.0 | 972 | 1.4796 | 0.2 |
|
104 |
+
| 1.3629 | 37.0 | 999 | 1.4789 | 0.2 |
|
105 |
+
| 1.3814 | 38.0 | 1026 | 1.4784 | 0.2 |
|
106 |
+
| 1.3967 | 39.0 | 1053 | 1.4779 | 0.2 |
|
107 |
+
| 1.3982 | 40.0 | 1080 | 1.4774 | 0.2 |
|
108 |
+
| 1.3817 | 41.0 | 1107 | 1.4771 | 0.2 |
|
109 |
+
| 1.4328 | 42.0 | 1134 | 1.4766 | 0.2 |
|
110 |
+
| 1.4018 | 43.0 | 1161 | 1.4763 | 0.2 |
|
111 |
+
| 1.4296 | 44.0 | 1188 | 1.4762 | 0.2 |
|
112 |
+
| 1.3826 | 45.0 | 1215 | 1.4760 | 0.2 |
|
113 |
+
| 1.4348 | 46.0 | 1242 | 1.4759 | 0.2 |
|
114 |
+
| 1.3915 | 47.0 | 1269 | 1.4758 | 0.2 |
|
115 |
+
| 1.3824 | 48.0 | 1296 | 1.4758 | 0.2 |
|
116 |
+
| 1.3767 | 49.0 | 1323 | 1.4758 | 0.2 |
|
117 |
+
| 1.374 | 50.0 | 1350 | 1.4758 | 0.2 |
|
118 |
|
119 |
|
120 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343086480
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:992e46d91fd9c088c93c2fb7ffd0ff4c1bd247b7fe3b84c2e7c2e6904c1a2899
|
3 |
size 343086480
|