Hugging Face's logo

onizukal
/
Boya3_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
5652a96
•
1 Parent(s): 552dbb7

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: 0.8368400158793172
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: 1.6234
36
- - Accuracy: 0.8368
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
- | 0.3968 | 1.0 | 632 | 0.4655 | 0.8055 |
69
- | 0.3086 | 2.0 | 1264 | 0.4160 | 0.8253 |
70
- | 0.2633 | 3.0 | 1896 | 0.5170 | 0.8233 |
71
- | 0.1584 | 4.0 | 2528 | 0.7332 | 0.8257 |
72
- | 0.077 | 5.0 | 3160 | 1.0907 | 0.8257 |
73
- | 0.0455 | 6.0 | 3792 | 1.2835 | 0.8301 |
74
- | 0.0002 | 7.0 | 4424 | 1.5277 | 0.8293 |
75
- | 0.023 | 8.0 | 5056 | 1.5580 | 0.8349 |
76
- | 0.0 | 9.0 | 5688 | 1.5861 | 0.8360 |
77
- | 0.0275 | 10.0 | 6320 | 1.6234 | 0.8368 |
78
 
79
 
80
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8352520841603811
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: 1.0801
36
+ - Accuracy: 0.8353
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
+ | 0.3718 | 1.0 | 632 | 0.4472 | 0.8178 |
69
+ | 0.3269 | 2.0 | 1264 | 0.4279 | 0.8277 |
70
+ | 0.2591 | 3.0 | 1896 | 0.4872 | 0.8345 |
71
+ | 0.0914 | 4.0 | 2528 | 0.8541 | 0.8404 |
72
+ | 0.0115 | 5.0 | 3160 | 1.0801 | 0.8353 |
 
 
 
 
 
73
 
74
 
75
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:902f0501c700d5c62ed3f1496cd9c32fb273bb9df13c6d7e23c0f61f8169634c
3
  size 1213789289
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42e233a6ae107f2bf08ca606d059d7ad25500cb7ce0939ba4d8f29061849340a
3
  size 1213789289