Hugging Face's logo

hkivancoral
/
smids_1x_beit_base_adamax_00001_fold4

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
6d55bdf
•
1 Parent(s): 8e3d915

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov30_21-30-34_f888a2bfcfb9/events.out.tfevents.1701379835.f888a2bfcfb9.842.13 +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: smids_1x_beit_base_adamax_00001_fold4
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: 0.8733333333333333
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
+ # smids_1x_beit_base_adamax_00001_fold4
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: 0.9690
36
+ - Accuracy: 0.8733
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: 1e-05
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
+ | 0.3842 | 1.0 | 75 | 0.3836 | 0.8567 |
69
+ | 0.2698 | 2.0 | 150 | 0.3565 | 0.8717 |
70
+ | 0.2112 | 3.0 | 225 | 0.3725 | 0.8667 |
71
+ | 0.1563 | 4.0 | 300 | 0.3983 | 0.8683 |
72
+ | 0.0925 | 5.0 | 375 | 0.3901 | 0.875 |
73
+ | 0.1014 | 6.0 | 450 | 0.4180 | 0.8817 |
74
+ | 0.0818 | 7.0 | 525 | 0.4236 | 0.8733 |
75
+ | 0.0472 | 8.0 | 600 | 0.4670 | 0.87 |
76
+ | 0.0417 | 9.0 | 675 | 0.5177 | 0.8767 |
77
+ | 0.0198 | 10.0 | 750 | 0.5528 | 0.8683 |
78
+ | 0.0232 | 11.0 | 825 | 0.5777 | 0.875 |
79
+ | 0.0159 | 12.0 | 900 | 0.6214 | 0.8683 |
80
+ | 0.0174 | 13.0 | 975 | 0.6477 | 0.87 |
81
+ | 0.0205 | 14.0 | 1050 | 0.7117 | 0.8633 |
82
+ | 0.0429 | 15.0 | 1125 | 0.7038 | 0.875 |
83
+ | 0.0098 | 16.0 | 1200 | 0.7398 | 0.8733 |
84
+ | 0.0056 | 17.0 | 1275 | 0.7568 | 0.8717 |
85
+ | 0.016 | 18.0 | 1350 | 0.7774 | 0.8733 |
86
+ | 0.0366 | 19.0 | 1425 | 0.7871 | 0.8783 |
87
+ | 0.0462 | 20.0 | 1500 | 0.7545 | 0.8867 |
88
+ | 0.0036 | 21.0 | 1575 | 0.8298 | 0.8767 |
89
+ | 0.013 | 22.0 | 1650 | 0.8793 | 0.875 |
90
+ | 0.0139 | 23.0 | 1725 | 0.8645 | 0.88 |
91
+ | 0.0044 | 24.0 | 1800 | 0.8813 | 0.8717 |
92
+ | 0.0148 | 25.0 | 1875 | 0.8534 | 0.8767 |
93
+ | 0.0146 | 26.0 | 1950 | 0.8817 | 0.8767 |
94
+ | 0.0054 | 27.0 | 2025 | 0.9081 | 0.87 |
95
+ | 0.0007 | 28.0 | 2100 | 0.8989 | 0.8767 |
96
+ | 0.0046 | 29.0 | 2175 | 0.8951 | 0.88 |
97
+ | 0.0234 | 30.0 | 2250 | 0.9014 | 0.8717 |
98
+ | 0.0106 | 31.0 | 2325 | 0.9119 | 0.8667 |
99
+ | 0.0085 | 32.0 | 2400 | 0.9313 | 0.8717 |
100
+ | 0.0036 | 33.0 | 2475 | 0.9195 | 0.8733 |
101
+ | 0.001 | 34.0 | 2550 | 0.9166 | 0.8717 |
102
+ | 0.0098 | 35.0 | 2625 | 0.9378 | 0.87 |
103
+ | 0.0089 | 36.0 | 2700 | 0.9278 | 0.8717 |
104
+ | 0.0099 | 37.0 | 2775 | 0.9534 | 0.8717 |
105
+ | 0.0248 | 38.0 | 2850 | 0.9419 | 0.8783 |
106
+ | 0.0327 | 39.0 | 2925 | 0.9391 | 0.8733 |
107
+ | 0.0223 | 40.0 | 3000 | 0.9364 | 0.875 |
108
+ | 0.0147 | 41.0 | 3075 | 0.9305 | 0.8767 |
109
+ | 0.0288 | 42.0 | 3150 | 0.9572 | 0.8783 |
110
+ | 0.0191 | 43.0 | 3225 | 0.9619 | 0.875 |
111
+ | 0.0008 | 44.0 | 3300 | 0.9576 | 0.875 |
112
+ | 0.0019 | 45.0 | 3375 | 0.9660 | 0.8733 |
113
+ | 0.0022 | 46.0 | 3450 | 0.9692 | 0.875 |
114
+ | 0.0015 | 47.0 | 3525 | 0.9668 | 0.875 |
115
+ | 0.0054 | 48.0 | 3600 | 0.9744 | 0.8733 |
116
+ | 0.0016 | 49.0 | 3675 | 0.9694 | 0.8733 |
117
+ | 0.0003 | 50.0 | 3750 | 0.9690 | 0.8733 |
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:f8498ec7db1ad35b1c30d77cb7527805134d4e70a3d862bc9ac1094fc8e15a62
3
  size 343083404
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c8ffe5445366233356aba863b6083f57c540f47ceeae9b7ea2ed283505ffde1
3
  size 343083404
runs/Nov30_21-30-34_f888a2bfcfb9/events.out.tfevents.1701379835.f888a2bfcfb9.842.13 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d27e87a1de85f9c425a1a9f5c16c62ae2e2b64a33020f1d3e1bcb9fcca3aab05
3
- size 79883
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de839bb82a95aa49e5ccc45fcb1c557f15905d4e4e712560eed1dc5c32dfb7ea
3
+ size 80237