Hugging Face's logo

hkivancoral
/
hushem_1x_deit_base_rms_001_fold5

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
72c93d6
•
1 Parent(s): 9dfc0ed

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov16_01-23-42_80bd1285ebeb/events.out.tfevents.1700097823.80bd1285ebeb.1022.25 +2 -2
README.md ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/deit-base-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: hushem_1x_deit_base_rms_001_fold5
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: 0.4878048780487805
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
+ # hushem_1x_deit_base_rms_001_fold5
32
+
33
+ This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 1.3674
36
+ - Accuracy: 0.4878
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: 0.001
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
+ | No log | 1.0 | 6 | 5.8345 | 0.2683 |
69
+ | 4.8133 | 2.0 | 12 | 1.9738 | 0.2439 |
70
+ | 4.8133 | 3.0 | 18 | 1.6557 | 0.2439 |
71
+ | 2.3825 | 4.0 | 24 | 1.4419 | 0.2439 |
72
+ | 1.6511 | 5.0 | 30 | 1.5141 | 0.2439 |
73
+ | 1.6511 | 6.0 | 36 | 1.7332 | 0.2683 |
74
+ | 1.5506 | 7.0 | 42 | 1.4915 | 0.2439 |
75
+ | 1.5506 | 8.0 | 48 | 1.4901 | 0.2683 |
76
+ | 1.4941 | 9.0 | 54 | 1.4008 | 0.2683 |
77
+ | 1.5024 | 10.0 | 60 | 1.4017 | 0.2439 |
78
+ | 1.5024 | 11.0 | 66 | 1.4108 | 0.2683 |
79
+ | 1.6905 | 12.0 | 72 | 1.4762 | 0.2439 |
80
+ | 1.6905 | 13.0 | 78 | 1.4772 | 0.2439 |
81
+ | 1.4363 | 14.0 | 84 | 1.3917 | 0.3659 |
82
+ | 1.4324 | 15.0 | 90 | 1.3778 | 0.2439 |
83
+ | 1.4324 | 16.0 | 96 | 1.4917 | 0.2439 |
84
+ | 1.4176 | 17.0 | 102 | 1.8605 | 0.2439 |
85
+ | 1.4176 | 18.0 | 108 | 1.2587 | 0.4634 |
86
+ | 1.4153 | 19.0 | 114 | 1.3519 | 0.3171 |
87
+ | 1.363 | 20.0 | 120 | 1.2976 | 0.3902 |
88
+ | 1.363 | 21.0 | 126 | 1.7214 | 0.3902 |
89
+ | 1.2297 | 22.0 | 132 | 1.5932 | 0.3415 |
90
+ | 1.2297 | 23.0 | 138 | 1.0760 | 0.5122 |
91
+ | 1.1323 | 24.0 | 144 | 1.1518 | 0.4390 |
92
+ | 1.0463 | 25.0 | 150 | 1.1823 | 0.4146 |
93
+ | 1.0463 | 26.0 | 156 | 1.0632 | 0.4634 |
94
+ | 1.0497 | 27.0 | 162 | 1.1057 | 0.5122 |
95
+ | 1.0497 | 28.0 | 168 | 0.9873 | 0.4390 |
96
+ | 0.9597 | 29.0 | 174 | 1.0710 | 0.5122 |
97
+ | 1.0006 | 30.0 | 180 | 1.1482 | 0.4146 |
98
+ | 1.0006 | 31.0 | 186 | 1.1124 | 0.4634 |
99
+ | 0.934 | 32.0 | 192 | 1.1437 | 0.4146 |
100
+ | 0.934 | 33.0 | 198 | 1.1241 | 0.4390 |
101
+ | 0.8599 | 34.0 | 204 | 1.1438 | 0.4390 |
102
+ | 0.852 | 35.0 | 210 | 1.1783 | 0.4634 |
103
+ | 0.852 | 36.0 | 216 | 1.2807 | 0.4878 |
104
+ | 0.8357 | 37.0 | 222 | 1.2879 | 0.4878 |
105
+ | 0.8357 | 38.0 | 228 | 1.3101 | 0.4390 |
106
+ | 0.7932 | 39.0 | 234 | 1.2773 | 0.4878 |
107
+ | 0.7254 | 40.0 | 240 | 1.3480 | 0.4878 |
108
+ | 0.7254 | 41.0 | 246 | 1.3839 | 0.4878 |
109
+ | 0.7183 | 42.0 | 252 | 1.3674 | 0.4878 |
110
+ | 0.7183 | 43.0 | 258 | 1.3674 | 0.4878 |
111
+ | 0.6348 | 44.0 | 264 | 1.3674 | 0.4878 |
112
+ | 0.6561 | 45.0 | 270 | 1.3674 | 0.4878 |
113
+ | 0.6561 | 46.0 | 276 | 1.3674 | 0.4878 |
114
+ | 0.6538 | 47.0 | 282 | 1.3674 | 0.4878 |
115
+ | 0.6538 | 48.0 | 288 | 1.3674 | 0.4878 |
116
+ | 0.6489 | 49.0 | 294 | 1.3674 | 0.4878 |
117
+ | 0.6536 | 50.0 | 300 | 1.3674 | 0.4878 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.35.2
123
+ - Pytorch 2.1.0+cu118
124
+ - Datasets 2.14.7
125
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fcf16bdabe6d72a1beaebd0659e99c3f329903f5b6ed2872e4cd11c69fda45ef
3
  size 343230128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0481643c6714c7c0ac478ccaebe4b4abdc8feca210681f428a7c9378a91fb0a
3
  size 343230128
runs/Nov16_01-23-42_80bd1285ebeb/events.out.tfevents.1700097823.80bd1285ebeb.1022.25 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:314cf3e0e6c3934226a0373be9f774e79640f5972dcddd61321741e525cbdf04
3
- size 25081
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:754885ebabdc20c1e8a4fbb1907fa1dc1f2d7e68c1c6711b2cbee0dd1040735b
3
+ size 25435