Hugging Face's logo

ArrayDice
/
car_orientation_classification

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
ArrayDice commited on
Commit
af8c74b
•
1 Parent(s): de44f4d

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -7
  2. model.safetensors +1 -1
  3. runs/Jul17_13-36-56_0cb15eabdb53/events.out.tfevents.1721223417.0cb15eabdb53.1499.0 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  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 None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.8868
21
- - Accuracy: 0.6360
22
 
23
  ## Model description
24
 
@@ -46,16 +46,20 @@ The following hyperparameters were used during training:
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
- - num_epochs: 4
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
- | 1.4027 | 1.0 | 68 | 1.1856 | 0.5300 |
56
- | 1.0773 | 2.0 | 136 | 0.9565 | 0.6290 |
57
- | 0.9342 | 3.0 | 204 | 0.9063 | 0.6184 |
58
- | 0.9003 | 4.0 | 272 | 0.8868 | 0.6360 |
 
 
 
 
59
 
60
 
61
  ### Framework versions
 
17
 
18
  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 None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.6800
21
+ - Accuracy: 0.6926
22
 
23
  ## Model description
24
 
 
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 40
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | 1.9933 | 1.0 | 68 | 1.9084 | 0.4099 |
56
+ | 1.4721 | 2.0 | 136 | 1.2870 | 0.5124 |
57
+ | 1.1677 | 3.0 | 204 | 1.0780 | 0.5265 |
58
+ | 0.9919 | 4.0 | 272 | 0.9454 | 0.5760 |
59
+ | 0.8392 | 5.0 | 340 | 0.8184 | 0.6926 |
60
+ | 0.7778 | 6.0 | 408 | 0.8311 | 0.6431 |
61
+ | 0.7341 | 7.0 | 476 | 0.7425 | 0.6572 |
62
+ | 0.6695 | 8.0 | 544 | 0.6800 | 0.6926 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:de1c6da1525513a72dbe7482a9b0bbc0ee3b73037370c6cd3b73e68a9ff680d7
3
  size 343242432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a11a7cc19d243e779f0090ae83e2a2980772575f482e0f6d842acc9cca6fd636
3
  size 343242432
runs/Jul17_13-36-56_0cb15eabdb53/events.out.tfevents.1721223417.0cb15eabdb53.1499.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a06d2fbed7ae5dc930b505562c98503b2d526329eda46cb6f4006cb7a1600a17
3
- size 18913
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0805106fb5434976b39cb314857de234682ad83f4a61a2e637a7d4ff7280116f
3
+ size 19267