Hugging Face's logo

gchabcou
/
my_awesome_food_model

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
gchabcou commited on
Commit
b3d654f
•
1 Parent(s): 8f43705

End of training

Browse files
Files changed (2) hide show
  1. README.md +9 -9
  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: 0.888
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 food101 dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.6149
36
- - Accuracy: 0.888
37
 
38
  ## Model description
39
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | 2.7503 | 0.99 | 62 | 2.5551 | 0.81 |
71
- | 1.8399 | 2.0 | 125 | 1.7910 | 0.863 |
72
- | 1.579 | 2.98 | 186 | 1.6149 | 0.888 |
73
 
74
 
75
  ### Framework versions
76
 
77
- - Transformers 4.31.0
78
- - Pytorch 2.0.1
79
- - Datasets 2.12.0
80
  - Tokenizers 0.13.3
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.885
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 food101 dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.6290
36
+ - Accuracy: 0.885
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | 2.7273 | 0.99 | 62 | 2.5332 | 0.832 |
71
+ | 1.8643 | 2.0 | 125 | 1.7844 | 0.89 |
72
+ | 1.6056 | 2.98 | 186 | 1.6290 | 0.885 |
73
 
74
 
75
  ### Framework versions
76
 
77
+ - Transformers 4.33.3
78
+ - Pytorch 2.0.1+cu117
79
+ - Datasets 2.14.5
80
  - Tokenizers 0.13.3
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:50ae74d4be9a83f5b18b23600da551e89bcc2b4e1a3a4342bcfdcc060e11b699
3
  size 343573229
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d90def3970b94200bae8e21796291d0317fa5c559a3acbca31d9d6435615903
3
  size 343573229