Hugging Face's logo

RobertoSonic
/
swinv2-tiny-patch4-window8-256-dmae-humeda-DAV76

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Model card Files
xet
 Metrics Community
RobertoSonic commited on
Commit
365a610
·
verified ·
1 Parent(s): b936efb

Model save

Browse files
Files changed (3) hide show
  1. README.md +114 -0
  2. model.safetensors +1 -1
  3. runs/May26_06-38-47_74922dddfac1/events.out.tfevents.1748241576.74922dddfac1.2463.0 +2 -2
README.md ADDED
@@ -0,0 +1,114 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: microsoft/swinv2-tiny-patch4-window8-256
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: swinv2-tiny-patch4-window8-256-dmae-humeda-DAV76
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # swinv2-tiny-patch4-window8-256-dmae-humeda-DAV76
18
+
19
+ This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.6030
22
+ - Accuracy: 0.8457
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 4e-05
42
+ - train_batch_size: 16
43
+ - eval_batch_size: 16
44
+ - seed: 42
45
+ - gradient_accumulation_steps: 4
46
+ - total_train_batch_size: 64
47
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: linear
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 50
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
56
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
57
+ | 1.1017 | 0.9524 | 15 | 1.0955 | 0.3143 |
58
+ | 0.9212 | 1.9524 | 30 | 0.8475 | 0.6743 |
59
+ | 0.7117 | 2.9524 | 45 | 0.6980 | 0.6171 |
60
+ | 0.5496 | 3.9524 | 60 | 0.4957 | 0.8 |
61
+ | 0.5051 | 4.9524 | 75 | 0.4578 | 0.7714 |
62
+ | 0.4331 | 5.9524 | 90 | 0.3767 | 0.8457 |
63
+ | 0.4324 | 6.9524 | 105 | 0.4334 | 0.8229 |
64
+ | 0.3664 | 7.9524 | 120 | 0.4469 | 0.7829 |
65
+ | 0.335 | 8.9524 | 135 | 0.3407 | 0.8743 |
66
+ | 0.2977 | 9.9524 | 150 | 0.3569 | 0.84 |
67
+ | 0.2978 | 10.9524 | 165 | 0.3858 | 0.8686 |
68
+ | 0.2983 | 11.9524 | 180 | 0.3657 | 0.8571 |
69
+ | 0.2539 | 12.9524 | 195 | 0.3979 | 0.8514 |
70
+ | 0.2215 | 13.9524 | 210 | 0.3755 | 0.8514 |
71
+ | 0.2474 | 14.9524 | 225 | 0.4143 | 0.8457 |
72
+ | 0.2245 | 15.9524 | 240 | 0.3954 | 0.8629 |
73
+ | 0.2427 | 16.9524 | 255 | 0.4063 | 0.8743 |
74
+ | 0.2036 | 17.9524 | 270 | 0.4762 | 0.8343 |
75
+ | 0.2397 | 18.9524 | 285 | 0.4077 | 0.88 |
76
+ | 0.2157 | 19.9524 | 300 | 0.5519 | 0.8114 |
77
+ | 0.221 | 20.9524 | 315 | 0.5091 | 0.8114 |
78
+ | 0.1799 | 21.9524 | 330 | 0.4301 | 0.8629 |
79
+ | 0.1777 | 22.9524 | 345 | 0.4592 | 0.8743 |
80
+ | 0.1641 | 23.9524 | 360 | 0.4445 | 0.8686 |
81
+ | 0.1582 | 24.9524 | 375 | 0.4807 | 0.8571 |
82
+ | 0.1394 | 25.9524 | 390 | 0.4472 | 0.8743 |
83
+ | 0.16 | 26.9524 | 405 | 0.5020 | 0.8743 |
84
+ | 0.1826 | 27.9524 | 420 | 0.4834 | 0.8686 |
85
+ | 0.1648 | 28.9524 | 435 | 0.5368 | 0.8629 |
86
+ | 0.155 | 29.9524 | 450 | 0.5284 | 0.8514 |
87
+ | 0.1378 | 30.9524 | 465 | 0.4585 | 0.8743 |
88
+ | 0.1608 | 31.9524 | 480 | 0.4883 | 0.8686 |
89
+ | 0.1435 | 32.9524 | 495 | 0.5400 | 0.84 |
90
+ | 0.1444 | 33.9524 | 510 | 0.5379 | 0.8571 |
91
+ | 0.1504 | 34.9524 | 525 | 0.5876 | 0.8629 |
92
+ | 0.1108 | 35.9524 | 540 | 0.5414 | 0.8571 |
93
+ | 0.1392 | 36.9524 | 555 | 0.5801 | 0.8571 |
94
+ | 0.1065 | 37.9524 | 570 | 0.5940 | 0.8629 |
95
+ | 0.087 | 38.9524 | 585 | 0.6316 | 0.8571 |
96
+ | 0.127 | 39.9524 | 600 | 0.6509 | 0.8571 |
97
+ | 0.1198 | 40.9524 | 615 | 0.6311 | 0.8571 |
98
+ | 0.1255 | 41.9524 | 630 | 0.5793 | 0.8514 |
99
+ | 0.1317 | 42.9524 | 645 | 0.5860 | 0.8343 |
100
+ | 0.1016 | 43.9524 | 660 | 0.5839 | 0.8629 |
101
+ | 0.1249 | 44.9524 | 675 | 0.5763 | 0.8571 |
102
+ | 0.0762 | 45.9524 | 690 | 0.5853 | 0.8629 |
103
+ | 0.1075 | 46.9524 | 705 | 0.5967 | 0.8514 |
104
+ | 0.0792 | 47.9524 | 720 | 0.6012 | 0.8457 |
105
+ | 0.1033 | 48.9524 | 735 | 0.5989 | 0.8457 |
106
+ | 0.1115 | 49.9524 | 750 | 0.6030 | 0.8457 |
107
+
108
+
109
+ ### Framework versions
110
+
111
+ - Transformers 4.51.3
112
+ - Pytorch 2.6.0+cu124
113
+ - Datasets 2.19.0
114
+ - Tokenizers 0.21.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b9a74f8fe7ec9cc2b6dee025753e441382e51db46b37c4b2bc813600a3fc4fd
3
  size 110353212
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f43edab8e863f557d7128e44eaeaeb89578d892b73e24ca13c5e5afa2975b317
3
  size 110353212
runs/May26_06-38-47_74922dddfac1/events.out.tfevents.1748241576.74922dddfac1.2463.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:516c71bc016b666e4f9ef4011b0a1ab789ff53548cdc2484dd2990fdcbfb090c
3
- size 36658
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38dfe4ec9d547fbe0464c8ef19424dbd0150be0efba3b9b887763be27815b567
3
+ size 37757