Hugging Face's logo

Augusto777
/
vit-base-patch16-224-ve-U10-12

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Augusto777 commited on
Commit
65e57d9
•
1 Parent(s): 7fb5fd8

Model save

Browse files
Files changed (3) hide show
  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Jun11_10-42-52_DESKTOP-SKBE9FB/events.out.tfevents.1718124174.DESKTOP-SKBE9FB.7440.0 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.803921568627451
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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.6462
36
- - Accuracy: 0.8039
37
 
38
  ## Model description
39
 
@@ -67,18 +67,18 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | 1.3622 | 0.95 | 15 | 1.2307 | 0.4706 |
71
- | 1.0947 | 1.97 | 31 | 1.0291 | 0.6078 |
72
- | 0.9315 | 2.98 | 47 | 0.9682 | 0.6078 |
73
- | 0.689 | 4.0 | 63 | 0.7301 | 0.7647 |
74
- | 0.5825 | 4.95 | 78 | 0.7103 | 0.7451 |
75
- | 0.4441 | 5.97 | 94 | 0.6943 | 0.7451 |
76
- | 0.3118 | 6.98 | 110 | 0.6462 | 0.8039 |
77
- | 0.2695 | 8.0 | 126 | 0.6646 | 0.7647 |
78
- | 0.2384 | 8.95 | 141 | 0.6885 | 0.7843 |
79
- | 0.2146 | 9.97 | 157 | 0.7925 | 0.7255 |
80
- | 0.1961 | 10.98 | 173 | 0.6515 | 0.7843 |
81
- | 0.1941 | 11.43 | 180 | 0.6558 | 0.7843 |
82
 
83
 
84
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8431372549019608
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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.5611
36
+ - Accuracy: 0.8431
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | 1.3634 | 0.95 | 15 | 1.2283 | 0.4902 |
71
+ | 1.099 | 1.97 | 31 | 1.0098 | 0.6275 |
72
+ | 0.9373 | 2.98 | 47 | 0.8730 | 0.6667 |
73
+ | 0.7066 | 4.0 | 63 | 0.6674 | 0.8039 |
74
+ | 0.6035 | 4.95 | 78 | 0.6062 | 0.7647 |
75
+ | 0.4011 | 5.97 | 94 | 0.5809 | 0.8627 |
76
+ | 0.2799 | 6.98 | 110 | 0.6235 | 0.8039 |
77
+ | 0.2572 | 8.0 | 126 | 0.6696 | 0.7647 |
78
+ | 0.2384 | 8.95 | 141 | 0.6869 | 0.7647 |
79
+ | 0.2104 | 9.97 | 157 | 0.7199 | 0.7255 |
80
+ | 0.1894 | 10.98 | 173 | 0.5568 | 0.8431 |
81
+ | 0.1917 | 11.43 | 180 | 0.5611 | 0.8431 |
82
 
83
 
84
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5c1aa19c14cb31765a441a71b61ba2c83814555afdf15522b4f8456afa5868c7
3
  size 343230128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fa6c016a369350d3c82f0482e2cb33ea9bff87a3ea060045b78fec0993c877e
3
  size 343230128
runs/Jun11_10-42-52_DESKTOP-SKBE9FB/events.out.tfevents.1718124174.DESKTOP-SKBE9FB.7440.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:287960416fa10a06767c299aa9dd10fde304f45040031f2cebe0943319e89c83
3
- size 9999
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b04e63a302d16a8d5b8a03c9833341f5ad31317ebfd9efad02995d1b09c22a9
3
+ size 11470