Hugging Face's logo

hkivancoral
/
hushem_1x_beit_base_rms_0001_fold3

Image Classification
Transformers
TensorBoard
Safetensors
beit
generated_from_trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
1d87ef9
•
1 Parent(s): df0a8d2

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov25_21-49-27_86b6a4671e23/events.out.tfevents.1700948968.86b6a4671e23.909.17 +2 -2
README.md ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: microsoft/beit-base-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: hushem_1x_beit_base_rms_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: 0.5116279069767442
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_beit_base_rms_0001_fold3
32
+
33
+ This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 3.2060
36
+ - Accuracy: 0.5116
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
+ | No log | 1.0 | 6 | 1.4345 | 0.2326 |
69
+ | 2.0035 | 2.0 | 12 | 1.4013 | 0.2558 |
70
+ | 2.0035 | 3.0 | 18 | 1.4133 | 0.2558 |
71
+ | 1.4085 | 4.0 | 24 | 1.4118 | 0.2558 |
72
+ | 1.3752 | 5.0 | 30 | 1.3892 | 0.4419 |
73
+ | 1.3752 | 6.0 | 36 | 1.3795 | 0.2791 |
74
+ | 1.3345 | 7.0 | 42 | 1.3859 | 0.3256 |
75
+ | 1.3345 | 8.0 | 48 | 1.3535 | 0.3023 |
76
+ | 1.2957 | 9.0 | 54 | 1.3373 | 0.4419 |
77
+ | 1.2266 | 10.0 | 60 | 1.3000 | 0.4651 |
78
+ | 1.2266 | 11.0 | 66 | 1.2541 | 0.4651 |
79
+ | 1.2119 | 12.0 | 72 | 1.3081 | 0.3023 |
80
+ | 1.2119 | 13.0 | 78 | 1.3255 | 0.4186 |
81
+ | 1.1642 | 14.0 | 84 | 1.2598 | 0.4419 |
82
+ | 1.0863 | 15.0 | 90 | 1.3634 | 0.4651 |
83
+ | 1.0863 | 16.0 | 96 | 1.2765 | 0.4419 |
84
+ | 1.0739 | 17.0 | 102 | 1.2557 | 0.4651 |
85
+ | 1.0739 | 18.0 | 108 | 1.3482 | 0.4651 |
86
+ | 0.9189 | 19.0 | 114 | 1.2441 | 0.5814 |
87
+ | 0.9333 | 20.0 | 120 | 1.3137 | 0.5116 |
88
+ | 0.9333 | 21.0 | 126 | 1.4928 | 0.5116 |
89
+ | 0.7984 | 22.0 | 132 | 1.4587 | 0.4419 |
90
+ | 0.7984 | 23.0 | 138 | 1.4263 | 0.4884 |
91
+ | 0.7474 | 24.0 | 144 | 1.3937 | 0.5116 |
92
+ | 0.6261 | 25.0 | 150 | 1.7138 | 0.4651 |
93
+ | 0.6261 | 26.0 | 156 | 1.9139 | 0.3488 |
94
+ | 0.6149 | 27.0 | 162 | 2.2211 | 0.4419 |
95
+ | 0.6149 | 28.0 | 168 | 2.6636 | 0.3953 |
96
+ | 0.5568 | 29.0 | 174 | 2.0456 | 0.4419 |
97
+ | 0.5749 | 30.0 | 180 | 2.1341 | 0.3488 |
98
+ | 0.5749 | 31.0 | 186 | 2.6940 | 0.4651 |
99
+ | 0.5955 | 32.0 | 192 | 2.3824 | 0.4419 |
100
+ | 0.5955 | 33.0 | 198 | 2.3420 | 0.4419 |
101
+ | 0.4884 | 34.0 | 204 | 2.5519 | 0.5116 |
102
+ | 0.4591 | 35.0 | 210 | 2.4344 | 0.4186 |
103
+ | 0.4591 | 36.0 | 216 | 2.3412 | 0.5116 |
104
+ | 0.3989 | 37.0 | 222 | 2.6657 | 0.5116 |
105
+ | 0.3989 | 38.0 | 228 | 3.0833 | 0.5116 |
106
+ | 0.2794 | 39.0 | 234 | 2.9344 | 0.5349 |
107
+ | 0.252 | 40.0 | 240 | 3.0820 | 0.5349 |
108
+ | 0.252 | 41.0 | 246 | 3.2011 | 0.5116 |
109
+ | 0.2307 | 42.0 | 252 | 3.2060 | 0.5116 |
110
+ | 0.2307 | 43.0 | 258 | 3.2060 | 0.5116 |
111
+ | 0.2027 | 44.0 | 264 | 3.2060 | 0.5116 |
112
+ | 0.2023 | 45.0 | 270 | 3.2060 | 0.5116 |
113
+ | 0.2023 | 46.0 | 276 | 3.2060 | 0.5116 |
114
+ | 0.2295 | 47.0 | 282 | 3.2060 | 0.5116 |
115
+ | 0.2295 | 48.0 | 288 | 3.2060 | 0.5116 |
116
+ | 0.216 | 49.0 | 294 | 3.2060 | 0.5116 |
117
+ | 0.2238 | 50.0 | 300 | 3.2060 | 0.5116 |
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 sha256:2a57ab7af3774e6ad16668ba1ffef0c817081ab33e617120c11b1e9b30a8b588
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45b502cbc235885e18d6aad123e56a575340128776f53b62e1f9c7dcb557f68e
3
  size 343086480
runs/Nov25_21-49-27_86b6a4671e23/events.out.tfevents.1700948968.86b6a4671e23.909.17 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7a18181285c568180a3e92f8aaf269e835a5d51329992d7fe8b0c0f88ed1005e
3
- size 25630
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e86ad375fdd19374ad16d64ac47fc8add6bd2e435bd479e40164d7f372e1b08
3
+ size 25984