Hugging Face's logo

hkivancoral
/
smids_1x_deit_small_rms_00001_fold2

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
ae395c5
•
1 Parent(s): 660740e

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Dec04_00-16-27_e7698b4f2488/events.out.tfevents.1701648988.e7698b4f2488.1907.7 +2 -2
README.md ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/deit-small-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: smids_1x_deit_small_rms_00001_fold2
12
+ results:
13
+ - task:
14
+ name: Image Classification
15
+ type: image-classification
16
+ dataset:
17
+ name: imagefolder
18
+ type: imagefolder
19
+ config: default
20
+ split: test
21
+ args: default
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.870216306156406
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
+ # smids_1x_deit_small_rms_00001_fold2
32
+
33
+ This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 0.8494
36
+ - Accuracy: 0.8702
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 1e-05
56
+ - train_batch_size: 32
57
+ - eval_batch_size: 32
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: 0.1
62
+ - num_epochs: 50
63
+
64
+ ### Training results
65
+
66
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 0.391 | 1.0 | 75 | 0.3306 | 0.8569 |
69
+ | 0.2024 | 2.0 | 150 | 0.3078 | 0.8719 |
70
+ | 0.1659 | 3.0 | 225 | 0.3046 | 0.8636 |
71
+ | 0.1089 | 4.0 | 300 | 0.3233 | 0.8702 |
72
+ | 0.0832 | 5.0 | 375 | 0.4345 | 0.8552 |
73
+ | 0.0315 | 6.0 | 450 | 0.4227 | 0.8686 |
74
+ | 0.0247 | 7.0 | 525 | 0.5432 | 0.8652 |
75
+ | 0.0031 | 8.0 | 600 | 0.5857 | 0.8769 |
76
+ | 0.0058 | 9.0 | 675 | 0.5689 | 0.8619 |
77
+ | 0.0354 | 10.0 | 750 | 0.6368 | 0.8619 |
78
+ | 0.0193 | 11.0 | 825 | 0.5921 | 0.8752 |
79
+ | 0.0019 | 12.0 | 900 | 0.6514 | 0.8785 |
80
+ | 0.0447 | 13.0 | 975 | 0.6838 | 0.8686 |
81
+ | 0.0527 | 14.0 | 1050 | 0.6693 | 0.8735 |
82
+ | 0.0047 | 15.0 | 1125 | 0.6444 | 0.8735 |
83
+ | 0.0064 | 16.0 | 1200 | 0.7052 | 0.8719 |
84
+ | 0.0002 | 17.0 | 1275 | 0.7289 | 0.8636 |
85
+ | 0.0092 | 18.0 | 1350 | 0.7405 | 0.8669 |
86
+ | 0.0001 | 19.0 | 1425 | 0.7743 | 0.8619 |
87
+ | 0.0038 | 20.0 | 1500 | 0.7512 | 0.8686 |
88
+ | 0.0001 | 21.0 | 1575 | 0.8249 | 0.8602 |
89
+ | 0.0001 | 22.0 | 1650 | 0.7832 | 0.8686 |
90
+ | 0.0001 | 23.0 | 1725 | 0.8312 | 0.8636 |
91
+ | 0.0 | 24.0 | 1800 | 0.7877 | 0.8669 |
92
+ | 0.0 | 25.0 | 1875 | 0.7958 | 0.8719 |
93
+ | 0.0001 | 26.0 | 1950 | 0.7718 | 0.8752 |
94
+ | 0.0055 | 27.0 | 2025 | 0.7918 | 0.8686 |
95
+ | 0.0032 | 28.0 | 2100 | 0.8022 | 0.8735 |
96
+ | 0.0023 | 29.0 | 2175 | 0.8185 | 0.8735 |
97
+ | 0.0031 | 30.0 | 2250 | 0.8365 | 0.8735 |
98
+ | 0.0028 | 31.0 | 2325 | 0.7946 | 0.8686 |
99
+ | 0.0 | 32.0 | 2400 | 0.8222 | 0.8752 |
100
+ | 0.0 | 33.0 | 2475 | 0.7981 | 0.8719 |
101
+ | 0.0 | 34.0 | 2550 | 0.8313 | 0.8752 |
102
+ | 0.0084 | 35.0 | 2625 | 0.8895 | 0.8702 |
103
+ | 0.0 | 36.0 | 2700 | 0.8170 | 0.8686 |
104
+ | 0.0 | 37.0 | 2775 | 0.8344 | 0.8752 |
105
+ | 0.0 | 38.0 | 2850 | 0.8561 | 0.8735 |
106
+ | 0.0022 | 39.0 | 2925 | 0.8329 | 0.8702 |
107
+ | 0.0 | 40.0 | 3000 | 0.8473 | 0.8719 |
108
+ | 0.0026 | 41.0 | 3075 | 0.8354 | 0.8686 |
109
+ | 0.0 | 42.0 | 3150 | 0.8451 | 0.8735 |
110
+ | 0.0025 | 43.0 | 3225 | 0.8430 | 0.8735 |
111
+ | 0.0025 | 44.0 | 3300 | 0.8484 | 0.8719 |
112
+ | 0.0 | 45.0 | 3375 | 0.8461 | 0.8702 |
113
+ | 0.0 | 46.0 | 3450 | 0.8473 | 0.8735 |
114
+ | 0.0023 | 47.0 | 3525 | 0.8487 | 0.8719 |
115
+ | 0.0 | 48.0 | 3600 | 0.8492 | 0.8702 |
116
+ | 0.0022 | 49.0 | 3675 | 0.8491 | 0.8686 |
117
+ | 0.0022 | 50.0 | 3750 | 0.8494 | 0.8702 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.35.2
123
+ - Pytorch 2.1.0+cu118
124
+ - Datasets 2.15.0
125
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e21830772e8edbb238a2da556b3127ff3d976eb904179ee53f60c2458e872c7a
3
  size 86690164
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2160c9d0f97aee4eed28ef490b48acdc8af67045851916f29f86a02d00e90c7
3
  size 86690164
runs/Dec04_00-16-27_e7698b4f2488/events.out.tfevents.1701648988.e7698b4f2488.1907.7 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:599b9925db0916aa314919271e77ff5bdff0077c2a36d78483a49f299327c888
3
- size 79332
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:486b908e873a880f7956ac9dfe7dcb77fefe31f0666891464d81b13a7cb503e3
3
+ size 79686