Hugging Face's logo

MakAIHealthLab
/
convnext-tiny-224-finetuned-biopsy

Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
wcosmas commited on
Commit
e129547
•
1 Parent(s): 158ec53

Model save

Browse files
Files changed (3) hide show
  1. README.md +113 -0
  2. model.safetensors +1 -1
  3. runs/Oct25_19-18-26_ba9aa54aa265/events.out.tfevents.1729883933.ba9aa54aa265.466.0 +2 -2
README.md ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/convnext-tiny-224
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: convnext-tiny-224-finetuned-biopsy
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
+ # convnext-tiny-224-finetuned-biopsy
18
+
19
+ This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.0655
22
+ - Accuracy: 0.9765
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: 5e-05
42
+ - train_batch_size: 32
43
+ - eval_batch_size: 32
44
+ - seed: 42
45
+ - gradient_accumulation_steps: 4
46
+ - total_train_batch_size: 128
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: linear
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 50
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
56
+ | 1.2488 | 1.0 | 42 | 1.1914 | 0.5360 |
57
+ | 0.9265 | 2.0 | 84 | 0.8634 | 0.5544 |
58
+ | 0.5701 | 3.0 | 126 | 0.4834 | 0.8543 |
59
+ | 0.4041 | 4.0 | 168 | 0.2996 | 0.9213 |
60
+ | 0.2747 | 5.0 | 210 | 0.2743 | 0.9146 |
61
+ | 0.2518 | 6.0 | 252 | 0.1826 | 0.9497 |
62
+ | 0.2363 | 7.0 | 294 | 0.1731 | 0.9497 |
63
+ | 0.1782 | 8.0 | 336 | 0.1870 | 0.9363 |
64
+ | 0.2122 | 9.0 | 378 | 0.1327 | 0.9615 |
65
+ | 0.1856 | 10.0 | 420 | 0.2082 | 0.9313 |
66
+ | 0.1736 | 11.0 | 462 | 0.1306 | 0.9564 |
67
+ | 0.1423 | 12.0 | 504 | 0.0989 | 0.9732 |
68
+ | 0.1296 | 13.0 | 546 | 0.0949 | 0.9732 |
69
+ | 0.1158 | 14.0 | 588 | 0.1084 | 0.9631 |
70
+ | 0.1383 | 15.0 | 630 | 0.0865 | 0.9715 |
71
+ | 0.1384 | 16.0 | 672 | 0.0879 | 0.9715 |
72
+ | 0.0924 | 17.0 | 714 | 0.0758 | 0.9782 |
73
+ | 0.0966 | 18.0 | 756 | 0.0866 | 0.9682 |
74
+ | 0.1324 | 19.0 | 798 | 0.0876 | 0.9715 |
75
+ | 0.0995 | 20.0 | 840 | 0.0990 | 0.9648 |
76
+ | 0.083 | 21.0 | 882 | 0.0911 | 0.9698 |
77
+ | 0.082 | 22.0 | 924 | 0.0816 | 0.9799 |
78
+ | 0.1038 | 23.0 | 966 | 0.1453 | 0.9430 |
79
+ | 0.0751 | 24.0 | 1008 | 0.0877 | 0.9732 |
80
+ | 0.0733 | 25.0 | 1050 | 0.0878 | 0.9682 |
81
+ | 0.0813 | 26.0 | 1092 | 0.0688 | 0.9816 |
82
+ | 0.0788 | 27.0 | 1134 | 0.0732 | 0.9782 |
83
+ | 0.0617 | 28.0 | 1176 | 0.0722 | 0.9749 |
84
+ | 0.0568 | 29.0 | 1218 | 0.0883 | 0.9648 |
85
+ | 0.0701 | 30.0 | 1260 | 0.0703 | 0.9765 |
86
+ | 0.0535 | 31.0 | 1302 | 0.0792 | 0.9782 |
87
+ | 0.0716 | 32.0 | 1344 | 0.0684 | 0.9799 |
88
+ | 0.0419 | 33.0 | 1386 | 0.0666 | 0.9816 |
89
+ | 0.054 | 34.0 | 1428 | 0.0768 | 0.9749 |
90
+ | 0.0332 | 35.0 | 1470 | 0.0717 | 0.9799 |
91
+ | 0.0524 | 36.0 | 1512 | 0.1067 | 0.9715 |
92
+ | 0.0372 | 37.0 | 1554 | 0.0604 | 0.9816 |
93
+ | 0.0692 | 38.0 | 1596 | 0.0579 | 0.9799 |
94
+ | 0.038 | 39.0 | 1638 | 0.0824 | 0.9732 |
95
+ | 0.0524 | 40.0 | 1680 | 0.0635 | 0.9765 |
96
+ | 0.0429 | 41.0 | 1722 | 0.0644 | 0.9816 |
97
+ | 0.0705 | 42.0 | 1764 | 0.0747 | 0.9765 |
98
+ | 0.0325 | 43.0 | 1806 | 0.0685 | 0.9816 |
99
+ | 0.0446 | 44.0 | 1848 | 0.0683 | 0.9782 |
100
+ | 0.0439 | 45.0 | 1890 | 0.0707 | 0.9749 |
101
+ | 0.0346 | 46.0 | 1932 | 0.0642 | 0.9782 |
102
+ | 0.0504 | 47.0 | 1974 | 0.0654 | 0.9799 |
103
+ | 0.0379 | 48.0 | 2016 | 0.0651 | 0.9765 |
104
+ | 0.0433 | 49.0 | 2058 | 0.0654 | 0.9765 |
105
+ | 0.0337 | 50.0 | 2100 | 0.0655 | 0.9765 |
106
+
107
+
108
+ ### Framework versions
109
+
110
+ - Transformers 4.44.2
111
+ - Pytorch 2.5.0+cu121
112
+ - Datasets 3.0.2
113
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:57bfd9036397430be21dfe7358e6068c80fc7d0e22bd93bc516cf057ec90fa97
3
  size 111314088
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ec7f574d01e2dae7e11fd8e95bfd7c84556103e35486d18e48beeb246d45833
3
  size 111314088
runs/Oct25_19-18-26_ba9aa54aa265/events.out.tfevents.1729883933.ba9aa54aa265.466.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6ab3ba11cd0e6fef25ed5044dcca12e4a2347ba99a67e77eeddeda091c1ae430
3
- size 65288
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8069ae4e938f78d980de806607963fd6719cf095443111877b1c3929751091ef
3
+ size 65965