Hugging Face's logo

hkivancoral
/
hushem_5x_beit_base_rms_001_fold1

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
c22a90b
•
1 Parent(s): b18c5d1

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov29_03-00-12_ac8792add2e0/events.out.tfevents.1701226813.ac8792add2e0.2336.13 +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: hushem_5x_beit_base_rms_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_5x_beit_base_rms_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: 2.2430
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
+ | 1.5782 | 1.0 | 27 | 1.4061 | 0.2444 |
69
+ | 1.4004 | 2.0 | 54 | 1.4559 | 0.2444 |
70
+ | 1.3873 | 3.0 | 81 | 1.4120 | 0.2444 |
71
+ | 1.3666 | 4.0 | 108 | 1.6275 | 0.2444 |
72
+ | 1.3597 | 5.0 | 135 | 1.4398 | 0.2444 |
73
+ | 1.2814 | 6.0 | 162 | 1.5328 | 0.2444 |
74
+ | 1.2056 | 7.0 | 189 | 1.5389 | 0.2 |
75
+ | 1.1635 | 8.0 | 216 | 1.5332 | 0.2444 |
76
+ | 1.1235 | 9.0 | 243 | 1.6681 | 0.2444 |
77
+ | 1.1484 | 10.0 | 270 | 1.6176 | 0.2667 |
78
+ | 1.1757 | 11.0 | 297 | 1.6312 | 0.2444 |
79
+ | 1.1297 | 12.0 | 324 | 1.5067 | 0.2444 |
80
+ | 1.1448 | 13.0 | 351 | 1.5657 | 0.2444 |
81
+ | 1.1725 | 14.0 | 378 | 1.5184 | 0.1556 |
82
+ | 1.1591 | 15.0 | 405 | 1.5790 | 0.2444 |
83
+ | 1.1549 | 16.0 | 432 | 1.5501 | 0.2444 |
84
+ | 1.0865 | 17.0 | 459 | 1.5776 | 0.2444 |
85
+ | 1.1351 | 18.0 | 486 | 1.6195 | 0.3111 |
86
+ | 1.0974 | 19.0 | 513 | 1.5360 | 0.2444 |
87
+ | 1.0992 | 20.0 | 540 | 1.5742 | 0.3111 |
88
+ | 1.0894 | 21.0 | 567 | 1.4918 | 0.3778 |
89
+ | 1.0557 | 22.0 | 594 | 1.5742 | 0.2444 |
90
+ | 1.0574 | 23.0 | 621 | 1.5043 | 0.4222 |
91
+ | 1.0148 | 24.0 | 648 | 1.3535 | 0.4222 |
92
+ | 1.1133 | 25.0 | 675 | 1.4897 | 0.4 |
93
+ | 1.02 | 26.0 | 702 | 1.4554 | 0.4222 |
94
+ | 1.0107 | 27.0 | 729 | 1.4238 | 0.4 |
95
+ | 0.9307 | 28.0 | 756 | 1.7644 | 0.3556 |
96
+ | 0.8335 | 29.0 | 783 | 2.0253 | 0.3556 |
97
+ | 0.8203 | 30.0 | 810 | 1.7990 | 0.3556 |
98
+ | 0.7263 | 31.0 | 837 | 1.6909 | 0.3778 |
99
+ | 0.8387 | 32.0 | 864 | 1.4758 | 0.4 |
100
+ | 0.6837 | 33.0 | 891 | 2.1584 | 0.3556 |
101
+ | 0.7155 | 34.0 | 918 | 1.7102 | 0.3778 |
102
+ | 0.6349 | 35.0 | 945 | 1.1875 | 0.4667 |
103
+ | 0.6331 | 36.0 | 972 | 1.9965 | 0.4222 |
104
+ | 0.5871 | 37.0 | 999 | 1.7881 | 0.4 |
105
+ | 0.595 | 38.0 | 1026 | 1.7629 | 0.4 |
106
+ | 0.5266 | 39.0 | 1053 | 1.6720 | 0.4222 |
107
+ | 0.4985 | 40.0 | 1080 | 2.3229 | 0.4222 |
108
+ | 0.4855 | 41.0 | 1107 | 1.6470 | 0.4444 |
109
+ | 0.503 | 42.0 | 1134 | 1.7515 | 0.4667 |
110
+ | 0.4432 | 43.0 | 1161 | 2.0538 | 0.4222 |
111
+ | 0.3668 | 44.0 | 1188 | 2.1471 | 0.4444 |
112
+ | 0.3654 | 45.0 | 1215 | 2.0004 | 0.4444 |
113
+ | 0.3317 | 46.0 | 1242 | 2.1973 | 0.4444 |
114
+ | 0.2413 | 47.0 | 1269 | 2.2882 | 0.4444 |
115
+ | 0.2395 | 48.0 | 1296 | 2.2389 | 0.4444 |
116
+ | 0.2502 | 49.0 | 1323 | 2.2430 | 0.4444 |
117
+ | 0.237 | 50.0 | 1350 | 2.2430 | 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:e7cc423b3911d192ac7f3a04006231b34277ab6519efd357082d80faf49ec826
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68ba6b3fe1dba6f6af399dd55d5ce619e62644856ce9da937b97687772afa63b
3
  size 343086480
runs/Nov29_03-00-12_ac8792add2e0/events.out.tfevents.1701226813.ac8792add2e0.2336.13 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6e95176c50c7bcd181bd866233b6b1e4cb8a8460e2e323dbf2c74931a322e223
3
- size 42213
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d6e3be81311dcdacaf20bc047e07d0b51ffc02137357840ed130288cca0ba246
3
+ size 42567