Hugging Face's logo

hkivancoral
/
hushem_5x_deit_base_adamax_0001_fold3

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
87265a8
•
1 Parent(s): d309298

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov20_22-46-43_d943f7bc58f8/events.out.tfevents.1700520403.d943f7bc58f8.2975.28 +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_5x_deit_base_adamax_0001_fold3
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: 0.8372093023255814
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_5x_deit_base_adamax_0001_fold3
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: 0.5462
36
+ - Accuracy: 0.8372
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: 0.0001
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
+ | 0.9594 | 1.0 | 28 | 0.6237 | 0.7442 |
69
+ | 0.1236 | 2.0 | 56 | 0.3919 | 0.7907 |
70
+ | 0.0109 | 3.0 | 84 | 0.4363 | 0.8837 |
71
+ | 0.0096 | 4.0 | 112 | 0.6363 | 0.8605 |
72
+ | 0.0012 | 5.0 | 140 | 0.5962 | 0.8140 |
73
+ | 0.0005 | 6.0 | 168 | 0.4146 | 0.8605 |
74
+ | 0.0003 | 7.0 | 196 | 0.4792 | 0.8605 |
75
+ | 0.0002 | 8.0 | 224 | 0.4742 | 0.8372 |
76
+ | 0.0002 | 9.0 | 252 | 0.4833 | 0.8372 |
77
+ | 0.0002 | 10.0 | 280 | 0.4894 | 0.8372 |
78
+ | 0.0002 | 11.0 | 308 | 0.4906 | 0.8372 |
79
+ | 0.0002 | 12.0 | 336 | 0.4963 | 0.8372 |
80
+ | 0.0002 | 13.0 | 364 | 0.4981 | 0.8372 |
81
+ | 0.0001 | 14.0 | 392 | 0.4994 | 0.8372 |
82
+ | 0.0001 | 15.0 | 420 | 0.5036 | 0.8372 |
83
+ | 0.0001 | 16.0 | 448 | 0.5049 | 0.8372 |
84
+ | 0.0001 | 17.0 | 476 | 0.5116 | 0.8372 |
85
+ | 0.0001 | 18.0 | 504 | 0.5122 | 0.8372 |
86
+ | 0.0001 | 19.0 | 532 | 0.5151 | 0.8372 |
87
+ | 0.0001 | 20.0 | 560 | 0.5161 | 0.8372 |
88
+ | 0.0001 | 21.0 | 588 | 0.5169 | 0.8372 |
89
+ | 0.0001 | 22.0 | 616 | 0.5170 | 0.8372 |
90
+ | 0.0001 | 23.0 | 644 | 0.5176 | 0.8372 |
91
+ | 0.0001 | 24.0 | 672 | 0.5195 | 0.8372 |
92
+ | 0.0001 | 25.0 | 700 | 0.5238 | 0.8372 |
93
+ | 0.0001 | 26.0 | 728 | 0.5251 | 0.8372 |
94
+ | 0.0001 | 27.0 | 756 | 0.5257 | 0.8372 |
95
+ | 0.0001 | 28.0 | 784 | 0.5254 | 0.8372 |
96
+ | 0.0001 | 29.0 | 812 | 0.5266 | 0.8372 |
97
+ | 0.0001 | 30.0 | 840 | 0.5304 | 0.8372 |
98
+ | 0.0001 | 31.0 | 868 | 0.5298 | 0.8372 |
99
+ | 0.0001 | 32.0 | 896 | 0.5322 | 0.8372 |
100
+ | 0.0001 | 33.0 | 924 | 0.5320 | 0.8372 |
101
+ | 0.0001 | 34.0 | 952 | 0.5340 | 0.8372 |
102
+ | 0.0001 | 35.0 | 980 | 0.5351 | 0.8372 |
103
+ | 0.0001 | 36.0 | 1008 | 0.5372 | 0.8372 |
104
+ | 0.0001 | 37.0 | 1036 | 0.5384 | 0.8372 |
105
+ | 0.0001 | 38.0 | 1064 | 0.5415 | 0.8372 |
106
+ | 0.0001 | 39.0 | 1092 | 0.5442 | 0.8372 |
107
+ | 0.0001 | 40.0 | 1120 | 0.5438 | 0.8372 |
108
+ | 0.0001 | 41.0 | 1148 | 0.5446 | 0.8372 |
109
+ | 0.0001 | 42.0 | 1176 | 0.5455 | 0.8372 |
110
+ | 0.0001 | 43.0 | 1204 | 0.5455 | 0.8372 |
111
+ | 0.0001 | 44.0 | 1232 | 0.5457 | 0.8372 |
112
+ | 0.0001 | 45.0 | 1260 | 0.5460 | 0.8372 |
113
+ | 0.0001 | 46.0 | 1288 | 0.5459 | 0.8372 |
114
+ | 0.0001 | 47.0 | 1316 | 0.5460 | 0.8372 |
115
+ | 0.0001 | 48.0 | 1344 | 0.5462 | 0.8372 |
116
+ | 0.0001 | 49.0 | 1372 | 0.5462 | 0.8372 |
117
+ | 0.0001 | 50.0 | 1400 | 0.5462 | 0.8372 |
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 sha256:6335815c9c86b841e70137bf37389c01c127855e7e7922a80cdc22b7e01cf8e0
3
  size 343230128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7efca81aae2fe3d85ee228a7113efa935f195bdeb16dbbdf4885264cef9cc104
3
  size 343230128
runs/Nov20_22-46-43_d943f7bc58f8/events.out.tfevents.1700520403.d943f7bc58f8.2975.28 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:36f39d4343d1062389c872b2a0902c118722d96b2e771e194651f8d7853dede0
3
- size 42466
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e1b23208298ce9c23d1fa35902c54855d800366e55025e2f6b46d68affa5f0d
3
+ size 42820