ahmedesmail16 commited on
Commit
d818d93
1 Parent(s): d9ff372

End of training

Browse files
Files changed (2) hide show
  1. README.md +67 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/vit-large-patch16-224-in21k
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: Psoriasis-Aug-M2-vit-large-patch16-224-in21k
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # Psoriasis-Aug-M2-vit-large-patch16-224-in21k
17
+
18
+ This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.0268
21
+ - Accuracy: 0.9792
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 5e-05
41
+ - train_batch_size: 16
42
+ - eval_batch_size: 16
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 4
45
+ - total_train_batch_size: 64
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 5
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | 0.4421 | 0.99 | 36 | 0.2504 | 0.8958 |
56
+ | 0.0968 | 1.99 | 72 | 0.0631 | 0.9583 |
57
+ | 0.0321 | 2.98 | 108 | 0.0639 | 0.9792 |
58
+ | 0.0065 | 4.0 | 145 | 0.0234 | 1.0 |
59
+ | 0.0067 | 4.97 | 180 | 0.0268 | 0.9792 |
60
+
61
+
62
+ ### Framework versions
63
+
64
+ - Transformers 4.39.3
65
+ - Pytorch 2.1.2
66
+ - Datasets 2.18.0
67
+ - Tokenizers 0.15.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5b1de9be466c886f39cfc9d96230102d1a9af06ed508b3123510897e279c2b1e
3
  size 1213285872
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5993a69e74ef8b83febacc9a3118b24c66b5a80a8458a723d2ce5a570e3aa49f
3
  size 1213285872