Hugging Face's logo

Danung
/
image_classification

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Model card Files
xet
Metrics Community
Danung commited on
Commit
398a299
·
verified ·
1 Parent(s): d07738e

End of training

Browse files
Files changed (2) hide show
  1. README.md +11 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.55
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: 1.2286
36
- - Accuracy: 0.55
37
 
38
  ## Model description
39
 
@@ -58,17 +58,19 @@ The following hyperparameters were used during training:
58
  - seed: 42
59
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
  - lr_scheduler_type: linear
61
- - num_epochs: 5
62
 
63
  ### Training results
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
- | No log | 1.0 | 40 | 1.7112 | 0.3812 |
68
- | No log | 2.0 | 80 | 1.4054 | 0.475 |
69
- | No log | 3.0 | 120 | 1.3190 | 0.5437 |
70
- | No log | 4.0 | 160 | 1.2331 | 0.55 |
71
- | No log | 5.0 | 200 | 1.1892 | 0.5938 |
 
 
72
 
73
 
74
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.59375
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: 1.2141
36
+ - Accuracy: 0.5938
37
 
38
  ## Model description
39
 
 
58
  - seed: 42
59
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
  - lr_scheduler_type: linear
61
+ - num_epochs: 7
62
 
63
  ### Training results
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
+ | No log | 1.0 | 40 | 1.2602 | 0.5312 |
68
+ | No log | 2.0 | 80 | 1.2212 | 0.55 |
69
+ | No log | 3.0 | 120 | 1.2422 | 0.5375 |
70
+ | No log | 4.0 | 160 | 1.1822 | 0.6 |
71
+ | No log | 5.0 | 200 | 1.2218 | 0.55 |
72
+ | No log | 6.0 | 240 | 1.1602 | 0.6125 |
73
+ | No log | 7.0 | 280 | 1.2598 | 0.5687 |
74
 
75
 
76
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3dd7d2b9a1763faf9b15014cdf7f0f50d6a8708722f9733f443b4cd09a356240
3
  size 343242432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d8b3cfe36ed8281f503109496eeb0eeecf7162b51f4c34a04a263bc76662058
3
  size 343242432