MichalGas commited on
Commit
c345ffc
1 Parent(s): f0ed7ac

Model save

Browse files
Files changed (2) hide show
  1. README.md +80 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - f1
10
+ model-index:
11
+ - name: swin-tiny-patch4-window7-224-finetuned-mgasior-2024
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: F1
24
+ type: f1
25
+ value: 0.3543307086614173
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-mgasior-2024
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: 14052969783754752.0000
36
+ - F1: 0.3543
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: 0.005
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: 3
65
+
66
+ ### Training results
67
+
68
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
69
+ |:----------------------:|:-----:|:----:|:----------------------:|:------:|
70
+ | No log | 1.0 | 9 | 27332963565830144.0000 | 0.1969 |
71
+ | 32784670781341696.0000 | 2.0 | 18 | 14390867745832960.0000 | 0.3543 |
72
+ | 16915434919532954.0000 | 3.0 | 27 | 14052969783754752.0000 | 0.3543 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - Transformers 4.36.1
78
+ - Pytorch 2.1.2+cu121
79
+ - Datasets 2.15.0
80
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cd79831c6c5dc68099d4bf1130a6b405f44d55139ba285ef9fb476a75cd529c4
3
  size 110355136
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d804fd13f4259b9c807a794a4b7d62cc1bc77cc134c32114dc9a128feeba85ba
3
  size 110355136