End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: google/vit-huge-patch14-224-in21k
+base_model: openai/clip-vit-large-patch14
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # FASHION-vision
 
-This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2854
-- Accuracy: 0.9055
+- Loss: 105.2224
+- Accuracy: 0.2897
 
 ## Model description
 
@@ -46,32 +45,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 20
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7694        | 1.0   | 375  | 0.7344          | 0.8202   |
-| 0.4737        | 2.0   | 750  | 0.5042          | 0.8457   |
-| 0.4318        | 3.0   | 1125 | 0.3876          | 0.8702   |
-| 0.3395        | 4.0   | 1500 | 0.3688          | 0.8769   |
-| 0.3105        | 5.0   | 1875 | 0.3357          | 0.8845   |
-| 0.2742        | 6.0   | 2250 | 0.3272          | 0.883    |
-| 0.2898        | 7.0   | 2625 | 0.3156          | 0.8903   |
-| 0.2774        | 8.0   | 3000 | 0.3004          | 0.8937   |
-| 0.2833        | 9.0   | 3375 | 0.2976          | 0.8933   |
-| 0.2398        | 10.0  | 3750 | 0.2954          | 0.8954   |
-| 0.2143        | 11.0  | 4125 | 0.2724          | 0.9055   |
-| 0.1808        | 12.0  | 4500 | 0.2843          | 0.8985   |
-| 0.2298        | 13.0  | 4875 | 0.2918          | 0.8968   |
-| 0.218         | 14.0  | 5250 | 0.2742          | 0.9036   |
-| 0.1885        | 15.0  | 5625 | 0.2932          | 0.8976   |
-| 0.1927        | 16.0  | 6000 | 0.2875          | 0.904    |
-| 0.1546        | 17.0  | 6375 | 0.2832          | 0.9066   |
-| 0.186         | 18.0  | 6750 | 0.2796          | 0.9054   |
-| 0.1515        | 19.0  | 7125 | 0.2850          | 0.9018   |
-| 0.1766        | 20.0  | 7500 | 0.2854          | 0.9055   |
+| 176.3951      | 1.0   | 375  | 105.2224        | 0.2897   |
 
 
 ### Framework versions