ZiaPratama commited on
Commit
a01819c
1 Parent(s): 1a31bd1

End of training

Browse files
Files changed (2) hide show
  1. README.md +13 -13
  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: 0.50625
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: 1.3527
36
- - Accuracy: 0.5062
37
 
38
  ## Model description
39
 
@@ -64,16 +64,16 @@ The following hyperparameters were used during training:
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
- | No log | 1.0 | 32 | 1.8395 | 0.3875 |
68
- | No log | 2.0 | 64 | 1.6230 | 0.375 |
69
- | No log | 3.0 | 96 | 1.5083 | 0.4 |
70
- | No log | 4.0 | 128 | 1.4751 | 0.4313 |
71
- | No log | 5.0 | 160 | 1.4150 | 0.45 |
72
- | No log | 6.0 | 192 | 1.4092 | 0.4437 |
73
- | No log | 7.0 | 224 | 1.4076 | 0.4375 |
74
- | No log | 8.0 | 256 | 1.3788 | 0.4625 |
75
- | No log | 9.0 | 288 | 1.3921 | 0.4562 |
76
- | No log | 10.0 | 320 | 1.3604 | 0.4625 |
77
 
78
 
79
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.5375
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: 1.3659
36
+ - Accuracy: 0.5375
37
 
38
  ## Model description
39
 
 
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
+ | No log | 1.0 | 32 | 1.9290 | 0.3063 |
68
+ | No log | 2.0 | 64 | 1.6622 | 0.3563 |
69
+ | No log | 3.0 | 96 | 1.5753 | 0.3937 |
70
+ | No log | 4.0 | 128 | 1.5099 | 0.475 |
71
+ | No log | 5.0 | 160 | 1.4614 | 0.4313 |
72
+ | No log | 6.0 | 192 | 1.4104 | 0.5 |
73
+ | No log | 7.0 | 224 | 1.3962 | 0.4562 |
74
+ | No log | 8.0 | 256 | 1.3535 | 0.5437 |
75
+ | No log | 9.0 | 288 | 1.3483 | 0.5062 |
76
+ | No log | 10.0 | 320 | 1.3994 | 0.45 |
77
 
78
 
79
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2a7581ce7ede4d45e1c5c3223309fe59b373e6e01d1993945d066a9eceeaa826
3
  size 343287149
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be490f206e773ba0873f205e7a81b474a12a2761a291486e7dcbeb5750096e33
3
  size 343287149