davanstrien
HF staff
commited on
Commit
6c47c67
1 Parent(s): 2a176f5

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +81 -0
README.md ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ datasets:
5
+ - image_folder
6
+ metrics:
7
+ - f1
8
+ model-index:
9
+ - name: vit_flyswot_test
10
+ results:
11
+ - task:
12
+ name: Image Classification
13
+ type: image-classification
14
+ dataset:
15
+ name: image_folder
16
+ type: image_folder
17
+ args: default
18
+ metrics:
19
+ - name: F1
20
+ type: f1
21
+ value: 0.849172221610369
22
+ ---
23
+
24
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
25
+ should probably proofread and complete it, then remove this comment. -->
26
+
27
+ # vit_flyswot_test
28
+
29
+ This model is a fine-tuned version of [](https://huggingface.co/) on the image_folder dataset.
30
+ It achieves the following results on the evaluation set:
31
+ - Loss: 0.4777
32
+ - F1: 0.8492
33
+
34
+ ## Model description
35
+
36
+ More information needed
37
+
38
+ ## Intended uses & limitations
39
+
40
+ More information needed
41
+
42
+ ## Training and evaluation data
43
+
44
+ More information needed
45
+
46
+ ## Training procedure
47
+
48
+ ### Training hyperparameters
49
+
50
+ The following hyperparameters were used during training:
51
+ - learning_rate: 2e-05
52
+ - train_batch_size: 32
53
+ - eval_batch_size: 32
54
+ - seed: 666
55
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
56
+ - lr_scheduler_type: linear
57
+ - num_epochs: 10
58
+ - mixed_precision_training: Native AMP
59
+
60
+ ### Training results
61
+
62
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
63
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
64
+ | No log | 1.0 | 52 | 1.2007 | 0.3533 |
65
+ | No log | 2.0 | 104 | 1.0037 | 0.5525 |
66
+ | No log | 3.0 | 156 | 0.8301 | 0.6318 |
67
+ | No log | 4.0 | 208 | 0.7224 | 0.6946 |
68
+ | No log | 5.0 | 260 | 0.7298 | 0.7145 |
69
+ | No log | 6.0 | 312 | 0.6328 | 0.7729 |
70
+ | No log | 7.0 | 364 | 0.6010 | 0.7992 |
71
+ | No log | 8.0 | 416 | 0.5174 | 0.8364 |
72
+ | No log | 9.0 | 468 | 0.5084 | 0.8479 |
73
+ | 0.6372 | 10.0 | 520 | 0.4777 | 0.8492 |
74
+
75
+
76
+ ### Framework versions
77
+
78
+ - Transformers 4.17.0.dev0
79
+ - Pytorch 1.10.0+cu111
80
+ - Datasets 1.18.3
81
+ - Tokenizers 0.11.6