Hugging Face's logo

prakhardixit24
/
urinary_carcinoma_classifier_g001

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
prakhardixit24 commited on
Commit
27d960d
·
verified ·
1 Parent(s): 1906fbc

End of training

Browse files
Files changed (2) hide show
  1. README.md +34 -24
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ model-index:
17
  name: imagefolder
18
  type: imagefolder
19
  config: default
20
- split: train[:42]
21
  args: default
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.5555555555555556
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.5640
36
- - Accuracy: 0.5556
37
 
38
  ## Model description
39
 
@@ -67,26 +67,36 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | No log | 1.0 | 1 | 0.6804 | 0.6667 |
71
- | No log | 2.0 | 3 | 0.6845 | 0.5556 |
72
- | No log | 3.0 | 5 | 0.6237 | 0.8889 |
73
- | No log | 4.0 | 6 | 0.6130 | 0.8889 |
74
- | No log | 5.0 | 7 | 0.6384 | 0.7778 |
75
- | No log | 6.0 | 9 | 0.6083 | 0.7778 |
76
- | 0.3049 | 7.0 | 11 | 0.6127 | 0.6667 |
77
- | 0.3049 | 8.0 | 12 | 0.5927 | 0.7778 |
78
- | 0.3049 | 9.0 | 13 | 0.5831 | 0.6667 |
79
- | 0.3049 | 10.0 | 15 | 0.5348 | 0.7778 |
80
- | 0.3049 | 11.0 | 17 | 0.5355 | 0.7778 |
81
- | 0.3049 | 12.0 | 18 | 0.5647 | 0.6667 |
82
- | 0.3049 | 13.0 | 19 | 0.6167 | 0.6667 |
83
- | 0.1811 | 14.0 | 21 | 0.5312 | 0.6667 |
84
- | 0.1811 | 15.0 | 23 | 0.5317 | 0.7778 |
85
- | 0.1811 | 16.0 | 24 | 0.4629 | 0.7778 |
86
- | 0.1811 | 17.0 | 25 | 0.5841 | 0.7778 |
87
- | 0.1811 | 18.0 | 27 | 0.5784 | 0.5556 |
88
- | 0.1811 | 19.0 | 29 | 0.5081 | 0.7778 |
89
- | 0.1359 | 20.0 | 30 | 0.5640 | 0.5556 |
 
 
 
 
 
 
 
 
 
 
90
 
91
 
92
  ### Framework versions
 
17
  name: imagefolder
18
  type: imagefolder
19
  config: default
20
+ split: train[:33]
21
  args: default
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8571428571428571
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.3828
36
+ - Accuracy: 0.8571
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | No log | 1.0 | 1 | 0.6854 | 0.7143 |
71
+ | No log | 2.0 | 2 | 0.6759 | 0.5714 |
72
+ | No log | 3.0 | 3 | 0.6738 | 0.5714 |
73
+ | No log | 4.0 | 4 | 0.6571 | 0.5714 |
74
+ | No log | 5.0 | 5 | 0.6342 | 0.5714 |
75
+ | No log | 6.0 | 6 | 0.6339 | 0.5714 |
76
+ | No log | 7.0 | 7 | 0.5402 | 0.5714 |
77
+ | No log | 8.0 | 8 | 0.5827 | 0.5714 |
78
+ | No log | 9.0 | 9 | 0.5439 | 0.7143 |
79
+ | 0.2718 | 10.0 | 10 | 0.5553 | 0.7143 |
80
+ | 0.2718 | 11.0 | 11 | 0.4241 | 1.0 |
81
+ | 0.2718 | 12.0 | 12 | 0.5177 | 0.8571 |
82
+ | 0.2718 | 13.0 | 13 | 0.4088 | 0.8571 |
83
+ | 0.2718 | 14.0 | 14 | 0.4763 | 0.7143 |
84
+ | 0.2718 | 15.0 | 15 | 0.3164 | 1.0 |
85
+ | 0.2718 | 16.0 | 16 | 0.3087 | 1.0 |
86
+ | 0.2718 | 17.0 | 17 | 0.3457 | 0.8571 |
87
+ | 0.2718 | 18.0 | 18 | 0.2585 | 1.0 |
88
+ | 0.2718 | 19.0 | 19 | 0.3642 | 0.8571 |
89
+ | 0.1299 | 20.0 | 20 | 0.4421 | 0.7143 |
90
+ | 0.1299 | 21.0 | 21 | 0.3558 | 0.8571 |
91
+ | 0.1299 | 22.0 | 22 | 0.3611 | 0.8571 |
92
+ | 0.1299 | 23.0 | 23 | 0.5796 | 0.7143 |
93
+ | 0.1299 | 24.0 | 24 | 0.4137 | 0.8571 |
94
+ | 0.1299 | 25.0 | 25 | 0.4281 | 0.8571 |
95
+ | 0.1299 | 26.0 | 26 | 0.2066 | 1.0 |
96
+ | 0.1299 | 27.0 | 27 | 0.2251 | 1.0 |
97
+ | 0.1299 | 28.0 | 28 | 0.2459 | 1.0 |
98
+ | 0.1299 | 29.0 | 29 | 0.4450 | 0.8571 |
99
+ | 0.0743 | 30.0 | 30 | 0.3828 | 0.8571 |
100
 
101
 
102
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:86bf277ee0aeeb7caa8772efae570be4cda10414471ce09d763b0d90aeb3b332
3
  size 343223968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbf7b004af75ece34d125f067ff0d1342d32d147f5bcb44ceacd252b866141fb
3
  size 343223968