Hugging Face's logo

nqvii
/
deit_fold_4

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Community
nqvii commited on
Commit
57de37d
·
verified ·
1 Parent(s): 6fdd201

End of training Fold 4

Browse files
Files changed (2) hide show
  1. README.md +108 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/deit-small-patch16-224
5
+ tags:
6
+ - generated_from_trainer
7
+ datasets:
8
+ - imagefolder
9
+ metrics:
10
+ - accuracy
11
+ - recall
12
+ model-index:
13
+ - name: deit_fold_4
14
+ results:
15
+ - task:
16
+ name: Image Classification
17
+ type: image-classification
18
+ dataset:
19
+ name: imagefolder
20
+ type: imagefolder
21
+ config: default
22
+ split: None
23
+ args: default
24
+ metrics:
25
+ - name: Accuracy
26
+ type: accuracy
27
+ value: 0.9515570934256056
28
+ - name: Recall
29
+ type: recall
30
+ value: 0.9524889695792607
31
+ ---
32
+
33
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
34
+ should probably proofread and complete it, then remove this comment. -->
35
+
36
+ # deit_fold_4
37
+
38
+ This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
39
+ It achieves the following results on the evaluation set:
40
+ - Loss: 1.1613
41
+ - Accuracy: 0.9516
42
+ - F1 Score: 0.9557
43
+ - Recall: 0.9525
44
+
45
+ ## Model description
46
+
47
+ More information needed
48
+
49
+ ## Intended uses & limitations
50
+
51
+ More information needed
52
+
53
+ ## Training and evaluation data
54
+
55
+ More information needed
56
+
57
+ ## Training procedure
58
+
59
+ ### Training hyperparameters
60
+
61
+ The following hyperparameters were used during training:
62
+ - learning_rate: 1e-05
63
+ - train_batch_size: 64
64
+ - eval_batch_size: 64
65
+ - seed: 42
66
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
67
+ - lr_scheduler_type: cosine
68
+ - lr_scheduler_warmup_steps: 150
69
+ - num_epochs: 100
70
+ - label_smoothing_factor: 0.15
71
+
72
+ ### Training results
73
+
74
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall |
75
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|
76
+ | 3.0112 | 1.0 | 19 | 2.9175 | 0.1349 | 0.1173 | 0.1476 |
77
+ | 2.8882 | 2.0 | 38 | 2.7478 | 0.2837 | 0.2479 | 0.2602 |
78
+ | 2.6765 | 3.0 | 57 | 2.5537 | 0.4360 | 0.3402 | 0.3670 |
79
+ | 2.3897 | 4.0 | 76 | 2.2672 | 0.5882 | 0.5441 | 0.5359 |
80
+ | 1.9781 | 5.0 | 95 | 1.8705 | 0.7924 | 0.7997 | 0.7861 |
81
+ | 1.6123 | 6.0 | 114 | 1.5627 | 0.8512 | 0.8659 | 0.8675 |
82
+ | 1.4216 | 7.0 | 133 | 1.3723 | 0.8962 | 0.9067 | 0.9017 |
83
+ | 1.2460 | 8.0 | 152 | 1.2605 | 0.9308 | 0.9380 | 0.9351 |
84
+ | 1.1724 | 9.0 | 171 | 1.2218 | 0.9308 | 0.9370 | 0.9337 |
85
+ | 1.1521 | 10.0 | 190 | 1.1915 | 0.9446 | 0.9492 | 0.9488 |
86
+ | 1.1116 | 11.0 | 209 | 1.1921 | 0.9377 | 0.9440 | 0.9451 |
87
+ | 1.0878 | 12.0 | 228 | 1.1973 | 0.9343 | 0.9406 | 0.9428 |
88
+ | 1.0601 | 13.0 | 247 | 1.1842 | 0.9377 | 0.9435 | 0.9451 |
89
+ | 1.0711 | 14.0 | 266 | 1.1563 | 0.9446 | 0.9497 | 0.9475 |
90
+ | 1.0461 | 15.0 | 285 | 1.1533 | 0.9446 | 0.9497 | 0.9475 |
91
+ | 1.0390 | 16.0 | 304 | 1.1613 | 0.9516 | 0.9557 | 0.9525 |
92
+ | 1.0080 | 17.0 | 323 | 1.1645 | 0.9412 | 0.9463 | 0.9465 |
93
+ | 1.0109 | 18.0 | 342 | 1.1656 | 0.9377 | 0.9434 | 0.9438 |
94
+ | 1.0092 | 19.0 | 361 | 1.1701 | 0.9446 | 0.9494 | 0.9501 |
95
+ | 0.9972 | 20.0 | 380 | 1.1859 | 0.9377 | 0.9432 | 0.9429 |
96
+ | 1.0005 | 21.0 | 399 | 1.1708 | 0.9446 | 0.9501 | 0.9522 |
97
+ | 0.9900 | 22.0 | 418 | 1.1849 | 0.9412 | 0.9470 | 0.9476 |
98
+ | 0.9758 | 23.0 | 437 | 1.1893 | 0.9446 | 0.9496 | 0.9511 |
99
+ | 0.9886 | 24.0 | 456 | 1.1739 | 0.9446 | 0.9496 | 0.9511 |
100
+ | 0.9757 | 25.0 | 475 | 1.1648 | 0.9412 | 0.9460 | 0.9440 |
101
+
102
+
103
+ ### Framework versions
104
+
105
+ - Transformers 5.0.0
106
+ - Pytorch 2.10.0+cu128
107
+ - Datasets 5.0.0
108
+ - Tokenizers 0.22.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b1a7cab1ef693c43399098fe4e4ec56fcc56315fafc9573509eae1b1397035d3
3
  size 86691704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e570773cf6a1812c5a71aab4063b930bef2dfa9b9b637d0320fda5e85343bc29
3
  size 86691704