Hugging Face's logo

gianlab
/
swin-tiny-patch4-window7-224-finetuned-parkinson-classification

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
gianlab commited on
Commit
0d1de50
•
1 Parent(s): bbf0755

End of training

Browse files
Files changed (7) hide show
  1. README.md +97 -0
  2. all_results.json +8 -0
  3. eval_results.json +8 -0
  4. model.safetensors +1 -1
  5. runs/Jan08_14-23-27_87f3c3bf34e2/events.out.tfevents.1704723838.87f3c3bf34e2.247.1 +3 -0
  6. runs/Jan08_14-23-27_87f3c3bf34e2/events.out.tfevents.1704723947.87f3c3bf34e2.247.2 +3 -0
  7. training_args.bin +1 -1
README.md ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: microsoft/swin-tiny-patch4-window7-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: swin-tiny-patch4-window7-224-finetuned-parkinson-classification
12
+ results:
13
+ - task:
14
+ name: Image Classification
15
+ type: image-classification
16
+ dataset:
17
+ name: imagefolder
18
+ type: imagefolder
19
+ config: default
20
+ split: train
21
+ args: default
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.9090909090909091
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # swin-tiny-patch4-window7-224-finetuned-parkinson-classification
32
+
33
+ This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 0.4966
36
+ - Accuracy: 0.9091
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 5e-05
56
+ - train_batch_size: 32
57
+ - eval_batch_size: 32
58
+ - seed: 42
59
+ - gradient_accumulation_steps: 4
60
+ - total_train_batch_size: 128
61
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
+ - lr_scheduler_type: linear
63
+ - lr_scheduler_warmup_ratio: 0.1
64
+ - num_epochs: 30
65
+
66
+ ### Training results
67
+
68
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | No log | 1.0 | 1 | 0.6801 | 0.4545 |
71
+ | No log | 2.0 | 3 | 0.8005 | 0.3636 |
72
+ | No log | 3.0 | 5 | 0.6325 | 0.6364 |
73
+ | No log | 4.0 | 6 | 0.5494 | 0.8182 |
74
+ | No log | 5.0 | 7 | 0.5214 | 0.8182 |
75
+ | No log | 6.0 | 9 | 0.5735 | 0.7273 |
76
+ | 0.3063 | 7.0 | 11 | 0.4966 | 0.9091 |
77
+ | 0.3063 | 8.0 | 12 | 0.4557 | 0.9091 |
78
+ | 0.3063 | 9.0 | 13 | 0.4444 | 0.9091 |
79
+ | 0.3063 | 10.0 | 15 | 0.6226 | 0.6364 |
80
+ | 0.3063 | 11.0 | 17 | 0.8224 | 0.4545 |
81
+ | 0.3063 | 12.0 | 18 | 0.8127 | 0.4545 |
82
+ | 0.3063 | 13.0 | 19 | 0.7868 | 0.4545 |
83
+ | 0.2277 | 14.0 | 21 | 0.8195 | 0.4545 |
84
+ | 0.2277 | 15.0 | 23 | 0.7499 | 0.4545 |
85
+ | 0.2277 | 16.0 | 24 | 0.7022 | 0.5455 |
86
+ | 0.2277 | 17.0 | 25 | 0.6755 | 0.5455 |
87
+ | 0.2277 | 18.0 | 27 | 0.6277 | 0.6364 |
88
+ | 0.2277 | 19.0 | 29 | 0.5820 | 0.6364 |
89
+ | 0.1867 | 20.0 | 30 | 0.5784 | 0.6364 |
90
+
91
+
92
+ ### Framework versions
93
+
94
+ - Transformers 4.35.2
95
+ - Pytorch 2.1.0+cu121
96
+ - Datasets 2.16.1
97
+ - Tokenizers 0.15.0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9090909090909091,
4
+ "eval_loss": 0.4965735673904419,
5
+ "eval_runtime": 0.1375,
6
+ "eval_samples_per_second": 79.993,
7
+ "eval_steps_per_second": 7.272
8
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9090909090909091,
4
+ "eval_loss": 0.4965735673904419,
5
+ "eval_runtime": 0.1375,
6
+ "eval_samples_per_second": 79.993,
7
+ "eval_steps_per_second": 7.272
8
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ef96682055fc423009afc4bc538d6cb0683c09a0e533508f92a977aa999f684d
3
  size 110342832
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a2cfb878b97bc6cbccaa8031290c79c0f54269d0118c476191eb162040cc1c4
3
  size 110342832
runs/Jan08_14-23-27_87f3c3bf34e2/events.out.tfevents.1704723838.87f3c3bf34e2.247.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e95eeb485c65e6f47bae06665b75d70816867d29d304ebb8b83e2e863f2ff57a
3
+ size 11935
runs/Jan08_14-23-27_87f3c3bf34e2/events.out.tfevents.1704723947.87f3c3bf34e2.247.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a30540257febfd34bd5045e4aeb6e9cfbb2344284eb9c768f147ad6ccb366d4
3
+ size 405
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ddf37218463e07391fa62fb0b59f9d0464546a1ef76463405c60d15056a98c80
3
  size 4664
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0fa77dd0ac928fbf4bb934cc58c277bef29bc1fba4831b35f57d73710eb22055
3
  size 4664