Model save

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.9852941176470589
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0026
-- Accuracy: 1.0
+- Loss: 0.0740
+- Accuracy: 0.9853
 
 ## Model description
 
@@ -60,30 +60,26 @@ 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: 15
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| No log        | 0.8889  | 4    | 0.5977          | 0.7794   |
-| No log        | 2.0     | 9    | 0.4052          | 0.7941   |
-| 0.662         | 2.8889  | 13   | 0.9644          | 0.5      |
-| 0.662         | 4.0     | 18   | 0.2191          | 0.9265   |
-| 0.5454        | 4.8889  | 22   | 0.1040          | 0.9706   |
-| 0.5454        | 6.0     | 27   | 0.0587          | 0.9853   |
-| 0.1982        | 6.8889  | 31   | 0.0637          | 0.9853   |
-| 0.1982        | 8.0     | 36   | 0.0255          | 1.0      |
-| 0.1826        | 8.8889  | 40   | 0.0617          | 0.9559   |
-| 0.1826        | 10.0    | 45   | 0.0519          | 0.9853   |
-| 0.1826        | 10.8889 | 49   | 0.0369          | 0.9706   |
-| 0.0996        | 12.0    | 54   | 0.0348          | 0.9853   |
-| 0.0996        | 12.8889 | 58   | 0.1207          | 0.9412   |
-| 0.0829        | 14.0    | 63   | 0.0158          | 0.9853   |
-| 0.0829        | 14.8889 | 67   | 0.0577          | 0.9706   |
-| 0.0348        | 16.0    | 72   | 0.0129          | 0.9853   |
-| 0.0348        | 16.8889 | 76   | 0.0052          | 1.0      |
-| 0.0103        | 17.7778 | 80   | 0.0026          | 1.0      |
+| No log        | 0.8889  | 4    | 0.5501          | 0.8088   |
+| No log        | 2.0     | 9    | 0.3671          | 0.8529   |
+| 0.5611        | 2.8889  | 13   | 0.3852          | 0.8235   |
+| 0.5611        | 4.0     | 18   | 0.2422          | 0.9118   |
+| 0.4558        | 4.8889  | 22   | 0.3534          | 0.8824   |
+| 0.4558        | 6.0     | 27   | 0.1137          | 0.9412   |
+| 0.3562        | 6.8889  | 31   | 0.5266          | 0.7941   |
+| 0.3562        | 8.0     | 36   | 0.1918          | 0.9118   |
+| 0.1201        | 8.8889  | 40   | 0.0301          | 1.0      |
+| 0.1201        | 10.0    | 45   | 0.0450          | 0.9853   |
+| 0.1201        | 10.8889 | 49   | 0.0327          | 0.9853   |
+| 0.0604        | 12.0    | 54   | 0.0898          | 0.9706   |
+| 0.0604        | 12.8889 | 58   | 0.0789          | 0.9853   |
+| 0.0322        | 13.3333 | 60   | 0.0740          | 0.9853   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6c2c9f496338c6d6da43cb50fcda1cfe1e2004ef3d66ad13f8744b6b3f11475
+oid sha256:eb94b99c6553845985caf145fada2be8e50f438ec16bb7b9c68ad49c92b36d87
 size 349854120