Hugging Face's logo

hkivancoral
/
hushem_1x_beit_base_sgd_001_fold5

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
d318850
•
1 Parent(s): 3abe000

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov25_03-27-53_23c9de965386/events.out.tfevents.1700882874.23c9de965386.7636.18 +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_sgd_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: 0.43902439024390244
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_sgd_001_fold5
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: 1.3101
36
+ - Accuracy: 0.4390
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 | 1.5856 | 0.2439 |
69
+ | 1.5446 | 2.0 | 12 | 1.5524 | 0.2683 |
70
+ | 1.5446 | 3.0 | 18 | 1.5246 | 0.3171 |
71
+ | 1.4921 | 4.0 | 24 | 1.5015 | 0.3171 |
72
+ | 1.4491 | 5.0 | 30 | 1.4859 | 0.3415 |
73
+ | 1.4491 | 6.0 | 36 | 1.4721 | 0.3415 |
74
+ | 1.4253 | 7.0 | 42 | 1.4615 | 0.3415 |
75
+ | 1.4253 | 8.0 | 48 | 1.4471 | 0.3659 |
76
+ | 1.3656 | 9.0 | 54 | 1.4347 | 0.3902 |
77
+ | 1.3889 | 10.0 | 60 | 1.4270 | 0.3902 |
78
+ | 1.3889 | 11.0 | 66 | 1.4192 | 0.4146 |
79
+ | 1.3303 | 12.0 | 72 | 1.4108 | 0.4146 |
80
+ | 1.3303 | 13.0 | 78 | 1.4040 | 0.4146 |
81
+ | 1.3227 | 14.0 | 84 | 1.3958 | 0.4146 |
82
+ | 1.3003 | 15.0 | 90 | 1.3889 | 0.4146 |
83
+ | 1.3003 | 16.0 | 96 | 1.3827 | 0.4146 |
84
+ | 1.3072 | 17.0 | 102 | 1.3788 | 0.3902 |
85
+ | 1.3072 | 18.0 | 108 | 1.3733 | 0.4146 |
86
+ | 1.2978 | 19.0 | 114 | 1.3664 | 0.4390 |
87
+ | 1.268 | 20.0 | 120 | 1.3623 | 0.4390 |
88
+ | 1.268 | 21.0 | 126 | 1.3569 | 0.4390 |
89
+ | 1.265 | 22.0 | 132 | 1.3511 | 0.4390 |
90
+ | 1.265 | 23.0 | 138 | 1.3470 | 0.4634 |
91
+ | 1.2559 | 24.0 | 144 | 1.3424 | 0.4390 |
92
+ | 1.2443 | 25.0 | 150 | 1.3395 | 0.4146 |
93
+ | 1.2443 | 26.0 | 156 | 1.3357 | 0.4390 |
94
+ | 1.2468 | 27.0 | 162 | 1.3318 | 0.4390 |
95
+ | 1.2468 | 28.0 | 168 | 1.3281 | 0.4390 |
96
+ | 1.2381 | 29.0 | 174 | 1.3262 | 0.4390 |
97
+ | 1.2466 | 30.0 | 180 | 1.3249 | 0.4146 |
98
+ | 1.2466 | 31.0 | 186 | 1.3215 | 0.4390 |
99
+ | 1.234 | 32.0 | 192 | 1.3185 | 0.4390 |
100
+ | 1.234 | 33.0 | 198 | 1.3170 | 0.4390 |
101
+ | 1.2144 | 34.0 | 204 | 1.3158 | 0.4390 |
102
+ | 1.2407 | 35.0 | 210 | 1.3143 | 0.4390 |
103
+ | 1.2407 | 36.0 | 216 | 1.3132 | 0.4390 |
104
+ | 1.2238 | 37.0 | 222 | 1.3125 | 0.4390 |
105
+ | 1.2238 | 38.0 | 228 | 1.3116 | 0.4390 |
106
+ | 1.221 | 39.0 | 234 | 1.3110 | 0.4390 |
107
+ | 1.1985 | 40.0 | 240 | 1.3104 | 0.4390 |
108
+ | 1.1985 | 41.0 | 246 | 1.3101 | 0.4390 |
109
+ | 1.2078 | 42.0 | 252 | 1.3101 | 0.4390 |
110
+ | 1.2078 | 43.0 | 258 | 1.3101 | 0.4390 |
111
+ | 1.1965 | 44.0 | 264 | 1.3101 | 0.4390 |
112
+ | 1.2151 | 45.0 | 270 | 1.3101 | 0.4390 |
113
+ | 1.2151 | 46.0 | 276 | 1.3101 | 0.4390 |
114
+ | 1.2187 | 47.0 | 282 | 1.3101 | 0.4390 |
115
+ | 1.2187 | 48.0 | 288 | 1.3101 | 0.4390 |
116
+ | 1.1908 | 49.0 | 294 | 1.3101 | 0.4390 |
117
+ | 1.1985 | 50.0 | 300 | 1.3101 | 0.4390 |
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 sha256:4b86cf66be1eb8055f80a6fff460c09f5f9d5ee8c9890da4e1bf1c10cd049782
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c18eef9fdecd6f5002fe4ae3a851e2badc718b3af881a6ba685544beff5830ca
3
  size 343086480
runs/Nov25_03-27-53_23c9de965386/events.out.tfevents.1700882874.23c9de965386.7636.18 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b6e262a5efe34d8e4443182eafedf0f20701ab047ca14fcf66eb180db064cb92
3
- size 25626
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:683929e5e200d8b58e88a7ba1ee821b90d1a40b36ac318a6a97c50b0a964c3d0
3
+ size 25980