Hugging Face's logo

hkivancoral
/
hushem_1x_beit_base_adamax_001_fold1

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
5f00514
•
1 Parent(s): 8b55831

End of training

Browse files
Files changed (2) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
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_adamax_001_fold1
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: 0.4444444444444444
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_adamax_001_fold1
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: 3.6981
36
+ - Accuracy: 0.4444
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 | 1.5800 | 0.2444 |
69
+ | 2.0893 | 2.0 | 12 | 1.3869 | 0.3333 |
70
+ | 2.0893 | 3.0 | 18 | 1.3893 | 0.2444 |
71
+ | 1.4148 | 4.0 | 24 | 1.3366 | 0.3333 |
72
+ | 1.3117 | 5.0 | 30 | 1.3938 | 0.2889 |
73
+ | 1.3117 | 6.0 | 36 | 1.5221 | 0.3778 |
74
+ | 1.2096 | 7.0 | 42 | 1.7519 | 0.4222 |
75
+ | 1.2096 | 8.0 | 48 | 1.6213 | 0.2444 |
76
+ | 1.1162 | 9.0 | 54 | 1.4721 | 0.2889 |
77
+ | 1.0871 | 10.0 | 60 | 1.3748 | 0.3333 |
78
+ | 1.0871 | 11.0 | 66 | 1.7274 | 0.4667 |
79
+ | 1.0753 | 12.0 | 72 | 3.1976 | 0.3333 |
80
+ | 1.0753 | 13.0 | 78 | 1.3693 | 0.4222 |
81
+ | 1.2635 | 14.0 | 84 | 1.5090 | 0.3778 |
82
+ | 0.9248 | 15.0 | 90 | 1.4886 | 0.5333 |
83
+ | 0.9248 | 16.0 | 96 | 1.4765 | 0.4444 |
84
+ | 0.8798 | 17.0 | 102 | 1.9348 | 0.4222 |
85
+ | 0.8798 | 18.0 | 108 | 1.3064 | 0.4667 |
86
+ | 0.8666 | 19.0 | 114 | 1.5832 | 0.4444 |
87
+ | 0.7171 | 20.0 | 120 | 2.1360 | 0.4444 |
88
+ | 0.7171 | 21.0 | 126 | 1.7636 | 0.4444 |
89
+ | 0.7588 | 22.0 | 132 | 2.3529 | 0.3556 |
90
+ | 0.7588 | 23.0 | 138 | 2.7880 | 0.3556 |
91
+ | 0.6002 | 24.0 | 144 | 1.8764 | 0.4222 |
92
+ | 0.5204 | 25.0 | 150 | 2.9921 | 0.4 |
93
+ | 0.5204 | 26.0 | 156 | 2.6311 | 0.4444 |
94
+ | 0.4748 | 27.0 | 162 | 2.1490 | 0.4889 |
95
+ | 0.4748 | 28.0 | 168 | 2.4874 | 0.4889 |
96
+ | 0.4423 | 29.0 | 174 | 1.9273 | 0.4444 |
97
+ | 0.3826 | 30.0 | 180 | 3.0375 | 0.4222 |
98
+ | 0.3826 | 31.0 | 186 | 3.0775 | 0.4667 |
99
+ | 0.3486 | 32.0 | 192 | 2.5400 | 0.4 |
100
+ | 0.3486 | 33.0 | 198 | 3.1424 | 0.4444 |
101
+ | 0.3116 | 34.0 | 204 | 2.9144 | 0.4667 |
102
+ | 0.2168 | 35.0 | 210 | 3.3792 | 0.4444 |
103
+ | 0.2168 | 36.0 | 216 | 3.7895 | 0.4667 |
104
+ | 0.2383 | 37.0 | 222 | 3.1800 | 0.4889 |
105
+ | 0.2383 | 38.0 | 228 | 3.3532 | 0.4444 |
106
+ | 0.1463 | 39.0 | 234 | 3.6524 | 0.4222 |
107
+ | 0.1584 | 40.0 | 240 | 3.6346 | 0.4444 |
108
+ | 0.1584 | 41.0 | 246 | 3.6838 | 0.4444 |
109
+ | 0.1431 | 42.0 | 252 | 3.6981 | 0.4444 |
110
+ | 0.1431 | 43.0 | 258 | 3.6981 | 0.4444 |
111
+ | 0.1356 | 44.0 | 264 | 3.6981 | 0.4444 |
112
+ | 0.139 | 45.0 | 270 | 3.6981 | 0.4444 |
113
+ | 0.139 | 46.0 | 276 | 3.6981 | 0.4444 |
114
+ | 0.1502 | 47.0 | 282 | 3.6981 | 0.4444 |
115
+ | 0.1502 | 48.0 | 288 | 3.6981 | 0.4444 |
116
+ | 0.128 | 49.0 | 294 | 3.6981 | 0.4444 |
117
+ | 0.1474 | 50.0 | 300 | 3.6981 | 0.4444 |
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:f51a446dad74a70f8f21b78f79a39404fee0528e115ba66e1a60dd5f390e9da0
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e32acc03eafe8142751657a7fba554c7b51004c2c3763cb633d532476de006e
3
  size 343086480