Hugging Face's logo

onizukal
/
Boya1_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold3

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
onizukal commited on
Commit
8e45ab8
•
1 Parent(s): 7daeb25

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: 0.8365800865800865
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: 1.6517
36
- - Accuracy: 0.8366
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
- | 0.3778 | 1.0 | 923 | 0.4572 | 0.8055 |
69
- | 0.2939 | 2.0 | 1846 | 0.4286 | 0.8339 |
70
- | 0.2477 | 3.0 | 2769 | 0.5544 | 0.8352 |
71
- | 0.0527 | 4.0 | 3692 | 0.9399 | 0.8293 |
72
- | 0.0863 | 5.0 | 4615 | 1.0936 | 0.8325 |
73
- | 0.0005 | 6.0 | 5538 | 1.4199 | 0.8374 |
74
- | 0.0003 | 7.0 | 6461 | 1.5760 | 0.8339 |
75
- | 0.0001 | 8.0 | 7384 | 1.6281 | 0.8390 |
76
- | 0.0001 | 9.0 | 8307 | 1.6782 | 0.8390 |
77
- | 0.0001 | 10.0 | 9230 | 1.6517 | 0.8366 |
78
 
79
 
80
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.83495670995671
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: 1.2799
36
+ - Accuracy: 0.8350
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
+ | 0.3841 | 1.0 | 923 | 0.4388 | 0.8203 |
69
+ | 0.235 | 2.0 | 1846 | 0.4317 | 0.8325 |
70
+ | 0.17 | 3.0 | 2769 | 0.5680 | 0.8374 |
71
+ | 0.0174 | 4.0 | 3692 | 1.0467 | 0.8287 |
72
+ | 0.0016 | 5.0 | 4615 | 1.2799 | 0.8350 |
 
 
 
 
 
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:b868790203067548b4160c02d8e46e81a9ae7fae6737bf8684fa6fdd0c353c4e
3
  size 1213789289
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2265b94bb945a3c538a0a5027d56581267cf0e07eb5549e8cc80209e86436727
3
  size 1213789289