Commit
•
dbb94b2
1
Parent(s):
3d2d094
Model save
Browse files
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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss:
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
@@ -56,6 +56,8 @@ The following hyperparameters were used during training:
|
|
56 |
- train_batch_size: 8
|
57 |
- eval_batch_size: 8
|
58 |
- seed: 42
|
|
|
|
|
59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
- lr_scheduler_type: linear
|
61 |
- lr_scheduler_warmup_ratio: 0.05
|
@@ -63,48 +65,48 @@ The following hyperparameters were used during training:
|
|
63 |
|
64 |
### Training results
|
65 |
|
66 |
-
| Training Loss
|
67 |
-
|
68 |
-
|
|
69 |
-
|
|
70 |
-
|
|
71 |
-
|
|
72 |
-
|
|
73 |
-
|
|
74 |
-
|
|
75 |
-
|
|
76 |
-
|
|
77 |
-
|
|
78 |
-
|
|
79 |
-
|
|
80 |
-
|
|
81 |
-
|
|
82 |
-
|
|
83 |
-
|
|
84 |
-
|
|
85 |
-
|
|
86 |
-
|
|
87 |
-
|
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
|
|
92 |
-
|
|
93 |
-
|
|
94 |
-
|
|
95 |
-
|
|
96 |
-
|
|
97 |
-
|
|
98 |
-
|
|
99 |
-
|
|
100 |
-
|
|
101 |
-
|
|
102 |
-
|
|
103 |
-
|
|
104 |
-
|
|
105 |
-
|
|
106 |
-
|
|
107 |
-
|
|
108 |
|
109 |
|
110 |
### Framework versions
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.717391304347826
|
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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 25847261397527471458109882368.0000
|
36 |
+
- Accuracy: 0.7174
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
56 |
- train_batch_size: 8
|
57 |
- eval_batch_size: 8
|
58 |
- seed: 42
|
59 |
+
- gradient_accumulation_steps: 2
|
60 |
+
- total_train_batch_size: 16
|
61 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
62 |
- lr_scheduler_type: linear
|
63 |
- lr_scheduler_warmup_ratio: 0.05
|
|
|
65 |
|
66 |
### Training results
|
67 |
|
68 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
69 |
+
|:----------------------------------:|:-----:|:----:|:----------------------------------:|:--------:|
|
70 |
+
| 62421131753362939742087282688.0000 | 0.99 | 51 | 25847261397527471458109882368.0000 | 0.3696 |
|
71 |
+
| 68366009359745128248184406016.0000 | 2.0 | 103 | 25847261397527471458109882368.0000 | 0.5435 |
|
72 |
+
| 56476265480660303086264254464.0000 | 2.99 | 154 | 25847261397527471458109882368.0000 | 0.7174 |
|
73 |
+
| 59448700505958211923205947392.0000 | 4.0 | 206 | 25847261397527471458109882368.0000 | 0.7391 |
|
74 |
+
| 57962481104362666995704922112.0000 | 4.99 | 257 | 25847261397527471458109882368.0000 | 0.7391 |
|
75 |
+
| 56476269258553484104324612096.0000 | 6.0 | 309 | 25847261397527471458109882368.0000 | 0.7174 |
|
76 |
+
| 60934916129660575832646615040.0000 | 6.99 | 360 | 25847261397527471458109882368.0000 | 0.8043 |
|
77 |
+
| 69852217427661121325411336192.0000 | 8.0 | 412 | 25847261397527471458109882368.0000 | 0.7174 |
|
78 |
+
| 59448704283851401737359327232.0000 | 8.99 | 463 | 25847261397527471458109882368.0000 | 0.7609 |
|
79 |
+
| 81741965084639127505391845376.0000 | 10.0 | 515 | 25847261397527471458109882368.0000 | 0.7609 |
|
80 |
+
| 57962484882255848013765279744.0000 | 10.99 | 566 | 25847261397527471458109882368.0000 | 0.7609 |
|
81 |
+
| 57962473548576287367398162432.0000 | 12.0 | 618 | 25847261397527471458109882368.0000 | 0.8043 |
|
82 |
+
| 57962484882255848013765279744.0000 | 12.99 | 669 | 25847261397527471458109882368.0000 | 0.7391 |
|
83 |
+
| 60934916129660575832646615040.0000 | 14.0 | 721 | 25847261397527471458109882368.0000 | 0.8043 |
|
84 |
+
| 57962477326469477181551542272.0000 | 14.99 | 772 | 25847261397527471458109882368.0000 | 0.7826 |
|
85 |
+
| 50531391652171295598227488768.0000 | 16.0 | 824 | 25847261397527471458109882368.0000 | 0.7826 |
|
86 |
+
| 57962481104362666995704922112.0000 | 16.99 | 875 | 25847261397527471458109882368.0000 | 0.7174 |
|
87 |
+
| 47558960404766567779346153472.0000 | 18.0 | 927 | 25847261397527471458109882368.0000 | 0.7174 |
|
88 |
+
| 68366001803958757415970668544.0000 | 18.99 | 978 | 25847261397527471458109882368.0000 | 0.7826 |
|
89 |
+
| 60439517218248428756995670016.0000 | 20.0 | 1030 | 25847261397527471458109882368.0000 | 0.7174 |
|
90 |
+
| 75797095034043309831508459520.0000 | 20.99 | 1081 | 25847261397527471458109882368.0000 | 0.7391 |
|
91 |
+
| 59448700505958211923205947392.0000 | 22.0 | 1133 | 25847261397527471458109882368.0000 | 0.7609 |
|
92 |
+
| 63907354932851674483741687808.0000 | 22.99 | 1184 | 25847261397527471458109882368.0000 | 0.7609 |
|
93 |
+
| 78769533837234408482603532288.0000 | 24.0 | 1236 | 25847261397527471458109882368.0000 | 0.7609 |
|
94 |
+
| 66879786180256393506530000896.0000 | 24.99 | 1287 | 25847261397527471458109882368.0000 | 0.8043 |
|
95 |
+
| 56476269258553484104324612096.0000 | 26.0 | 1339 | 25847261397527471458109882368.0000 | 0.7609 |
|
96 |
+
| 66879786180256393506530000896.0000 | 26.99 | 1390 | 25847261397527471458109882368.0000 | 0.7609 |
|
97 |
+
| 60934919907553756850706972672.0000 | 28.0 | 1442 | 25847261397527471458109882368.0000 | 0.7174 |
|
98 |
+
| 54990046079064749362670206976.0000 | 28.99 | 1493 | 25847261397527471458109882368.0000 | 0.7174 |
|
99 |
+
| 69852232539233862989838811136.0000 | 30.0 | 1545 | 25847261397527471458109882368.0000 | 0.7826 |
|
100 |
+
| 71338440607149856067065741312.0000 | 30.99 | 1596 | 25847261397527471458109882368.0000 | 0.7609 |
|
101 |
+
| 66879793736042764338743738368.0000 | 32.0 | 1648 | 25847261397527471458109882368.0000 | 0.7609 |
|
102 |
+
| 44586525379468658942404460544.0000 | 32.99 | 1699 | 25847261397527471458109882368.0000 | 0.7391 |
|
103 |
+
| 59448700505958211923205947392.0000 | 34.0 | 1751 | 25847261397527471458109882368.0000 | 0.7391 |
|
104 |
+
| 63907347377065294855434928128.0000 | 34.99 | 1802 | 25847261397527471458109882368.0000 | 0.7391 |
|
105 |
+
| 75797095034043309831508459520.0000 | 36.0 | 1854 | 25847261397527471458109882368.0000 | 0.7391 |
|
106 |
+
| 62421135531256120760147640320.0000 | 36.99 | 1905 | 25847261397527471458109882368.0000 | 0.7174 |
|
107 |
+
| 53503830455362394249322561536.0000 | 38.0 | 1957 | 25847261397527471458109882368.0000 | 0.7174 |
|
108 |
+
| 56476265480660303086264254464.0000 | 38.99 | 2008 | 25847261397527471458109882368.0000 | 0.7174 |
|
109 |
+
| 53503826677469204435169181696.0000 | 39.61 | 2040 | 25847261397527471458109882368.0000 | 0.7174 |
|
110 |
|
111 |
|
112 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343230128
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a889cc7da9e5a5c934a2c6fb7893131a2701e7d17aedaaab3a2a0fec5a1f470d
|
3 |
size 343230128
|
runs/Jun23_15-37-09_DESKTOP-SKBE9FB/events.out.tfevents.1719178630.DESKTOP-SKBE9FB.2132.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86b68944fb909c23f32d16748e53e343496cd2b48d92e21e7cb370cbdd8e6b96
|
3 |
+
size 49764
|