Hugging Face's logo

onizukal
/
Boya1_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold1

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
onizukal commited on
Commit
e4c17aa
•
1 Parent(s): 22b0028

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: 0.8392614716263915
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: 1.7950
36
- - Accuracy: 0.8393
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
- | 0.3585 | 1.0 | 924 | 0.4347 | 0.8249 |
69
- | 0.3184 | 2.0 | 1848 | 0.4237 | 0.8317 |
70
- | 0.2047 | 3.0 | 2772 | 0.5136 | 0.8355 |
71
- | 0.1174 | 4.0 | 3696 | 0.8121 | 0.8292 |
72
- | 0.0516 | 5.0 | 4620 | 1.1429 | 0.8390 |
73
- | 0.0132 | 6.0 | 5544 | 1.4356 | 0.8308 |
74
- | 0.0382 | 7.0 | 6468 | 1.5435 | 0.8360 |
75
- | 0.0 | 8.0 | 7392 | 1.7607 | 0.8355 |
76
- | 0.0016 | 9.0 | 8316 | 1.7775 | 0.8376 |
77
- | 0.0 | 10.0 | 9240 | 1.7950 | 0.8393 |
78
 
79
 
80
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8414336139017106
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: 1.1930
36
+ - Accuracy: 0.8414
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
+ | 0.3482 | 1.0 | 924 | 0.4193 | 0.8262 |
69
+ | 0.3157 | 2.0 | 1848 | 0.4359 | 0.8352 |
70
+ | 0.1507 | 3.0 | 2772 | 0.6032 | 0.8403 |
71
+ | 0.1694 | 4.0 | 3696 | 0.9383 | 0.8414 |
72
+ | 0.0111 | 5.0 | 4620 | 1.1930 | 0.8414 |
 
 
 
 
 
73
 
74
 
75
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1057ab9c804d5a7f6ce2f9cb5ebd99bb4c6afd556d049abd360d030f22e08deb
3
  size 1213789289
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee891d6009a73a4f20a2cdfedea273468683452ff1a28e7764a6a3f6bd90f773
3
  size 1213789289