Hugging Face's logo

onizukal
/
Boya3_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold2

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
onizukal commited on
Commit
54d68a8
•
1 Parent(s): e05d056

End of training

Browse files
Files changed (2) hide show
  1. README.md +9 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.8326095538886695
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 [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.7149
36
- - Accuracy: 0.8326
37
 
38
  ## Model description
39
 
@@ -59,22 +59,17 @@ The following hyperparameters were used during training:
59
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
  - lr_scheduler_type: linear
61
  - lr_scheduler_warmup_ratio: 0.1
62
- - num_epochs: 10
63
 
64
  ### Training results
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 0.4839 | 1.0 | 631 | 0.4443 | 0.8220 |
69
- | 0.3941 | 2.0 | 1262 | 0.4179 | 0.8298 |
70
- | 0.1956 | 3.0 | 1893 | 0.4992 | 0.8314 |
71
- | 0.198 | 4.0 | 2524 | 0.8608 | 0.8231 |
72
- | 0.1306 | 5.0 | 3155 | 1.1049 | 0.8223 |
73
- | 0.0083 | 6.0 | 3786 | 1.5038 | 0.8239 |
74
- | 0.0374 | 7.0 | 4417 | 1.6141 | 0.8326 |
75
- | 0.0 | 8.0 | 5048 | 1.6544 | 0.8259 |
76
- | 0.0 | 9.0 | 5679 | 1.7031 | 0.8338 |
77
- | 0.0001 | 10.0 | 6310 | 1.7149 | 0.8326 |
78
 
79
 
80
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8310303987366758
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 [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.1668
36
+ - Accuracy: 0.8310
37
 
38
  ## Model description
39
 
 
59
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
  - lr_scheduler_type: linear
61
  - lr_scheduler_warmup_ratio: 0.1
62
+ - num_epochs: 5
63
 
64
  ### Training results
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 0.5068 | 1.0 | 631 | 0.4278 | 0.8291 |
69
+ | 0.3715 | 2.0 | 1262 | 0.4212 | 0.8235 |
70
+ | 0.1578 | 3.0 | 1893 | 0.4810 | 0.8354 |
71
+ | 0.0708 | 4.0 | 2524 | 0.9491 | 0.8251 |
72
+ | 0.1011 | 5.0 | 3155 | 1.1668 | 0.8310 |
 
 
 
 
 
73
 
74
 
75
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f8490b8a589d5ca9c8c6664265e7ab41426c256dffeb461239091874ffecc789
3
  size 1213789289
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:671a618da41245c8c6dc6886a9c9886416792aa46beabbc15f15058f985857e0
3
  size 1213789289