Hugging Face's logo

hkivancoral
/
hushem_1x_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
9185961
•
1 Parent(s): be8472d

End of training

Browse files
Files changed (3) hide show
  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov25_22-31-48_86b6a4671e23/events.out.tfevents.1700951510.86b6a4671e23.909.21 +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_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: 0.4222222222222222
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_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: 1.6554
36
+ - Accuracy: 0.4222
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 | 4.7780 | 0.2444 |
69
+ | 5.2713 | 2.0 | 12 | 1.6054 | 0.2444 |
70
+ | 5.2713 | 3.0 | 18 | 1.4082 | 0.2444 |
71
+ | 1.584 | 4.0 | 24 | 1.4460 | 0.2444 |
72
+ | 1.4611 | 5.0 | 30 | 1.3995 | 0.2444 |
73
+ | 1.4611 | 6.0 | 36 | 1.4702 | 0.2444 |
74
+ | 1.426 | 7.0 | 42 | 1.4146 | 0.2889 |
75
+ | 1.426 | 8.0 | 48 | 1.4135 | 0.2667 |
76
+ | 1.4231 | 9.0 | 54 | 1.3923 | 0.2444 |
77
+ | 1.3996 | 10.0 | 60 | 1.3952 | 0.3333 |
78
+ | 1.3996 | 11.0 | 66 | 1.3447 | 0.3111 |
79
+ | 1.3678 | 12.0 | 72 | 1.2012 | 0.4667 |
80
+ | 1.3678 | 13.0 | 78 | 1.2676 | 0.3111 |
81
+ | 1.3823 | 14.0 | 84 | 1.6735 | 0.2444 |
82
+ | 1.3117 | 15.0 | 90 | 1.4063 | 0.2889 |
83
+ | 1.3117 | 16.0 | 96 | 1.1481 | 0.5111 |
84
+ | 1.2447 | 17.0 | 102 | 1.1199 | 0.4444 |
85
+ | 1.2447 | 18.0 | 108 | 1.4527 | 0.3556 |
86
+ | 1.159 | 19.0 | 114 | 1.2632 | 0.4 |
87
+ | 1.1248 | 20.0 | 120 | 1.8823 | 0.3111 |
88
+ | 1.1248 | 21.0 | 126 | 1.3002 | 0.3556 |
89
+ | 1.076 | 22.0 | 132 | 1.3851 | 0.3333 |
90
+ | 1.076 | 23.0 | 138 | 1.5013 | 0.4444 |
91
+ | 1.017 | 24.0 | 144 | 1.6658 | 0.3556 |
92
+ | 1.0181 | 25.0 | 150 | 1.6317 | 0.3556 |
93
+ | 1.0181 | 26.0 | 156 | 2.0640 | 0.3556 |
94
+ | 0.9565 | 27.0 | 162 | 1.8453 | 0.3778 |
95
+ | 0.9565 | 28.0 | 168 | 1.5546 | 0.3556 |
96
+ | 0.9059 | 29.0 | 174 | 1.7001 | 0.4222 |
97
+ | 0.8651 | 30.0 | 180 | 1.6735 | 0.4444 |
98
+ | 0.8651 | 31.0 | 186 | 1.6947 | 0.4667 |
99
+ | 0.8326 | 32.0 | 192 | 1.8722 | 0.3333 |
100
+ | 0.8326 | 33.0 | 198 | 1.5166 | 0.4667 |
101
+ | 0.7811 | 34.0 | 204 | 1.5728 | 0.4222 |
102
+ | 0.7343 | 35.0 | 210 | 1.5820 | 0.4444 |
103
+ | 0.7343 | 36.0 | 216 | 1.5827 | 0.4444 |
104
+ | 0.7013 | 37.0 | 222 | 1.8267 | 0.4 |
105
+ | 0.7013 | 38.0 | 228 | 1.7339 | 0.3778 |
106
+ | 0.6091 | 39.0 | 234 | 1.6279 | 0.4222 |
107
+ | 0.6541 | 40.0 | 240 | 1.6395 | 0.4444 |
108
+ | 0.6541 | 41.0 | 246 | 1.6688 | 0.4 |
109
+ | 0.5842 | 42.0 | 252 | 1.6554 | 0.4222 |
110
+ | 0.5842 | 43.0 | 258 | 1.6554 | 0.4222 |
111
+ | 0.591 | 44.0 | 264 | 1.6554 | 0.4222 |
112
+ | 0.5639 | 45.0 | 270 | 1.6554 | 0.4222 |
113
+ | 0.5639 | 46.0 | 276 | 1.6554 | 0.4222 |
114
+ | 0.5746 | 47.0 | 282 | 1.6554 | 0.4222 |
115
+ | 0.5746 | 48.0 | 288 | 1.6554 | 0.4222 |
116
+ | 0.5561 | 49.0 | 294 | 1.6554 | 0.4222 |
117
+ | 0.5875 | 50.0 | 300 | 1.6554 | 0.4222 |
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 sha256:02413e86d08f430de979deb45ea32757d172ea568c775ae50f024efd9f540b54
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad6fd5e2b8f2614a615421380e26eea0248214307eea83e386b748baf39357af
3
  size 343086480
runs/Nov25_22-31-48_86b6a4671e23/events.out.tfevents.1700951510.86b6a4671e23.909.21 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8de237b616464b4d3fdd57706476fe8d59eb40005c51d2f3a3215882b57245ad
3
- size 25626
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c64b02c89bcbc88d2b9c3f4af75b6428c415551b7e8b20f187f26ec8aae020f7
3
+ size 25980