Hugging Face's logo

AlaaHussien
/
final_weather

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
Model card Files
xet
 Community
AlaaHussien commited on
Commit
2e77f0c
·
1 Parent(s): 5f8797f

End of training

Browse files
Files changed (2) hide show
  1. README.md +11 -11
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Train Loss: 0.2163
20
- - Validation Loss: 0.2833
21
- - Train Accuracy: 0.9228
22
- - Train Precision: 0.9236
23
- - Train Recall: 0.9228
24
- - Train F1: 0.9228
25
  - Epoch: 4
26
 
27
  ## Model description
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
48
 
49
  | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
50
  |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
51
- | 1.2256 | 0.6330 | 0.8958 | 0.8986 | 0.8958 | 0.8958 | 0 |
52
- | 0.5082 | 0.4391 | 0.9097 | 0.9112 | 0.9097 | 0.9099 | 1 |
53
- | 0.3426 | 0.3675 | 0.9075 | 0.9129 | 0.9075 | 0.9066 | 2 |
54
- | 0.2638 | 0.3435 | 0.9111 | 0.9155 | 0.9111 | 0.9108 | 3 |
55
- | 0.2163 | 0.2833 | 0.9228 | 0.9236 | 0.9228 | 0.9228 | 4 |
56
 
57
 
58
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Train Loss: 0.1179
20
+ - Validation Loss: 0.2876
21
+ - Train Accuracy: 0.9235
22
+ - Train Precision: 0.9249
23
+ - Train Recall: 0.9235
24
+ - Train F1: 0.9237
25
  - Epoch: 4
26
 
27
  ## Model description
 
48
 
49
  | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
50
  |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
51
+ | 0.1824 | 0.3373 | 0.9039 | 0.9071 | 0.9039 | 0.9041 | 0 |
52
+ | 0.1671 | 0.2880 | 0.9133 | 0.9159 | 0.9133 | 0.9132 | 1 |
53
+ | 0.1320 | 0.3227 | 0.9126 | 0.9149 | 0.9126 | 0.9127 | 2 |
54
+ | 0.1241 | 0.2833 | 0.9199 | 0.9223 | 0.9199 | 0.9200 | 3 |
55
+ | 0.1179 | 0.2876 | 0.9235 | 0.9249 | 0.9235 | 0.9237 | 4 |
56
 
57
 
58
  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:caabbcb97d5c9b97b47b190c732083812b23e7807ee4b747d3220894f3b6f9c0
3
  size 343497400
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38fcd2954318d69abf5679900371a3b7f6292d2e5a515bbbad829572272d02fb
3
  size 343497400