Hugging Face's logo

hkivancoral
/
hushem_1x_deit_tiny_sgd_lr001_fold1

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
a17bb19
·
1 Parent(s): 6680b96

End of training

Browse files
Files changed (3) hide show
  1. README.md +39 -53
  2. model.safetensors +1 -1
  3. runs/Nov10_12-35-30_00121704b0ab/events.out.tfevents.1699619731.00121704b0ab.581.3 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.24444444444444444
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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.4469
36
- - Accuracy: 0.2444
37
 
38
  ## Model description
39
 
@@ -56,6 +56,8 @@ The following hyperparameters were used during training:
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
@@ -65,56 +67,40 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | No log | 1.0 | 6 | 1.5368 | 0.1778 |
69
- | 1.5053 | 2.0 | 12 | 1.5200 | 0.2 |
70
- | 1.5053 | 3.0 | 18 | 1.5076 | 0.2444 |
71
- | 1.4185 | 4.0 | 24 | 1.4995 | 0.2444 |
72
- | 1.4142 | 5.0 | 30 | 1.4924 | 0.2667 |
73
- | 1.4142 | 6.0 | 36 | 1.4869 | 0.2667 |
74
- | 1.3512 | 7.0 | 42 | 1.4825 | 0.2444 |
75
- | 1.3512 | 8.0 | 48 | 1.4792 | 0.2444 |
76
- | 1.3294 | 9.0 | 54 | 1.4761 | 0.2667 |
77
- | 1.3218 | 10.0 | 60 | 1.4731 | 0.2889 |
78
- | 1.3218 | 11.0 | 66 | 1.4695 | 0.2667 |
79
- | 1.2834 | 12.0 | 72 | 1.4673 | 0.2889 |
80
- | 1.2834 | 13.0 | 78 | 1.4645 | 0.2667 |
81
- | 1.277 | 14.0 | 84 | 1.4626 | 0.2667 |
82
- | 1.2351 | 15.0 | 90 | 1.4604 | 0.2889 |
83
- | 1.2351 | 16.0 | 96 | 1.4590 | 0.2667 |
84
- | 1.2221 | 17.0 | 102 | 1.4580 | 0.2444 |
85
- | 1.2221 | 18.0 | 108 | 1.4566 | 0.2444 |
86
- | 1.2433 | 19.0 | 114 | 1.4552 | 0.2444 |
87
- | 1.1894 | 20.0 | 120 | 1.4539 | 0.2667 |
88
- | 1.1894 | 21.0 | 126 | 1.4524 | 0.2667 |
89
- | 1.1949 | 22.0 | 132 | 1.4513 | 0.2889 |
90
- | 1.1949 | 23.0 | 138 | 1.4507 | 0.2889 |
91
- | 1.1632 | 24.0 | 144 | 1.4506 | 0.2889 |
92
- | 1.1732 | 25.0 | 150 | 1.4501 | 0.2667 |
93
- | 1.1732 | 26.0 | 156 | 1.4495 | 0.2667 |
94
- | 1.1503 | 27.0 | 162 | 1.4488 | 0.2667 |
95
- | 1.1503 | 28.0 | 168 | 1.4486 | 0.2444 |
96
- | 1.1305 | 29.0 | 174 | 1.4483 | 0.2444 |
97
- | 1.1465 | 30.0 | 180 | 1.4484 | 0.2444 |
98
- | 1.1465 | 31.0 | 186 | 1.4482 | 0.2444 |
99
- | 1.1348 | 32.0 | 192 | 1.4480 | 0.2444 |
100
- | 1.1348 | 33.0 | 198 | 1.4479 | 0.2444 |
101
- | 1.138 | 34.0 | 204 | 1.4475 | 0.2444 |
102
- | 1.1161 | 35.0 | 210 | 1.4473 | 0.2444 |
103
- | 1.1161 | 36.0 | 216 | 1.4472 | 0.2444 |
104
- | 1.1081 | 37.0 | 222 | 1.4471 | 0.2444 |
105
- | 1.1081 | 38.0 | 228 | 1.4471 | 0.2444 |
106
- | 1.1026 | 39.0 | 234 | 1.4470 | 0.2444 |
107
- | 1.1232 | 40.0 | 240 | 1.4469 | 0.2444 |
108
- | 1.1232 | 41.0 | 246 | 1.4469 | 0.2444 |
109
- | 1.1197 | 42.0 | 252 | 1.4469 | 0.2444 |
110
- | 1.1197 | 43.0 | 258 | 1.4469 | 0.2444 |
111
- | 1.1054 | 44.0 | 264 | 1.4469 | 0.2444 |
112
- | 1.0979 | 45.0 | 270 | 1.4469 | 0.2444 |
113
- | 1.0979 | 46.0 | 276 | 1.4469 | 0.2444 |
114
- | 1.1139 | 47.0 | 282 | 1.4469 | 0.2444 |
115
- | 1.1139 | 48.0 | 288 | 1.4469 | 0.2444 |
116
- | 1.0969 | 49.0 | 294 | 1.4469 | 0.2444 |
117
- | 1.1155 | 50.0 | 300 | 1.4469 | 0.2444 |
118
 
119
 
120
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.28888888888888886
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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.5248
36
+ - Accuracy: 0.2889
37
 
38
  ## Model description
39
 
 
56
  - train_batch_size: 32
57
  - eval_batch_size: 32
58
  - seed: 42
59
+ - gradient_accumulation_steps: 4
60
+ - total_train_batch_size: 128
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.1
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | No log | 0.67 | 1 | 1.6558 | 0.2667 |
71
+ | No log | 2.0 | 3 | 1.6426 | 0.2667 |
72
+ | No log | 2.67 | 4 | 1.6354 | 0.2667 |
73
+ | No log | 4.0 | 6 | 1.6235 | 0.2667 |
74
+ | No log | 4.67 | 7 | 1.6181 | 0.2667 |
75
+ | No log | 6.0 | 9 | 1.6074 | 0.2667 |
76
+ | 1.5585 | 6.67 | 10 | 1.6024 | 0.2667 |
77
+ | 1.5585 | 8.0 | 12 | 1.5928 | 0.2667 |
78
+ | 1.5585 | 8.67 | 13 | 1.5878 | 0.2667 |
79
+ | 1.5585 | 10.0 | 15 | 1.5809 | 0.2667 |
80
+ | 1.5585 | 10.67 | 16 | 1.5768 | 0.2667 |
81
+ | 1.5585 | 12.0 | 18 | 1.5710 | 0.2667 |
82
+ | 1.5585 | 12.67 | 19 | 1.5672 | 0.2667 |
83
+ | 1.4895 | 14.0 | 21 | 1.5624 | 0.2667 |
84
+ | 1.4895 | 14.67 | 22 | 1.5591 | 0.2667 |
85
+ | 1.4895 | 16.0 | 24 | 1.5545 | 0.2667 |
86
+ | 1.4895 | 16.67 | 25 | 1.5518 | 0.2667 |
87
+ | 1.4895 | 18.0 | 27 | 1.5474 | 0.2667 |
88
+ | 1.4895 | 18.67 | 28 | 1.5453 | 0.2667 |
89
+ | 1.4465 | 20.0 | 30 | 1.5417 | 0.2667 |
90
+ | 1.4465 | 20.67 | 31 | 1.5399 | 0.2667 |
91
+ | 1.4465 | 22.0 | 33 | 1.5368 | 0.2667 |
92
+ | 1.4465 | 22.67 | 34 | 1.5352 | 0.2667 |
93
+ | 1.4465 | 24.0 | 36 | 1.5328 | 0.2667 |
94
+ | 1.4465 | 24.67 | 37 | 1.5316 | 0.2667 |
95
+ | 1.4465 | 26.0 | 39 | 1.5298 | 0.2889 |
96
+ | 1.4141 | 26.67 | 40 | 1.5290 | 0.2889 |
97
+ | 1.4141 | 28.0 | 42 | 1.5277 | 0.2889 |
98
+ | 1.4141 | 28.67 | 43 | 1.5270 | 0.2889 |
99
+ | 1.4141 | 30.0 | 45 | 1.5259 | 0.2889 |
100
+ | 1.4141 | 30.67 | 46 | 1.5255 | 0.2889 |
101
+ | 1.4141 | 32.0 | 48 | 1.5251 | 0.2889 |
102
+ | 1.4141 | 32.67 | 49 | 1.5249 | 0.2889 |
103
+ | 1.4085 | 33.33 | 50 | 1.5248 | 0.2889 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
104
 
105
 
106
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d324707544b6e52672b9bc9cfa55c16c11400bcb6946a25c403d77aa9f117ea1
3
  size 22123464
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3cdf012cbfe54e03f4bddb21eb816876d513c65c0433cde415c1a0099b21fd6
3
  size 22123464
runs/Nov10_12-35-30_00121704b0ab/events.out.tfevents.1699619731.00121704b0ab.581.3 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4b61f8c2ce2e69e9445d24658104218bf19b6fd8b8ca6fd81fa7db5ee2ae6501
3
- size 15150
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b91ce002b820c6c3bbaa959cb4c7b4e7e82c81c0a5db956714022537f4a49b16
3
+ size 16286