End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6413250067879446
+      value: 0.6201466196035841
 ---
 
 <!-- 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. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4588
-- Accuracy: 0.6413
+- Loss: 3.7539
+- Accuracy: 0.6201
 
 ## Model description
 
@@ -59,17 +59,32 @@ 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: 5
+- num_epochs: 20
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.372         | 1.0   | 924  | 1.3390          | 0.5422   |
-| 1.0566        | 2.0   | 1848 | 1.1838          | 0.5808   |
-| 0.8724        | 3.0   | 2772 | 1.1155          | 0.6248   |
-| 0.3326        | 4.0   | 3696 | 1.2344          | 0.6397   |
-| 0.254         | 5.0   | 4620 | 1.4588          | 0.6413   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.3484        | 1.0   | 924   | 1.3605          | 0.5327   |
+| 1.1536        | 2.0   | 1848  | 1.2783          | 0.5515   |
+| 1.1327        | 3.0   | 2772  | 1.1624          | 0.6071   |
+| 0.7516        | 4.0   | 3696  | 1.2618          | 0.5952   |
+| 0.5923        | 5.0   | 4620  | 1.4123          | 0.6022   |
+| 0.5275        | 6.0   | 5544  | 1.5876          | 0.5927   |
+| 0.3529        | 7.0   | 6468  | 1.7994          | 0.5887   |
+| 0.2628        | 8.0   | 7392  | 1.9375          | 0.5984   |
+| 0.2774        | 9.0   | 8316  | 2.3876          | 0.5889   |
+| 0.1651        | 10.0  | 9240  | 2.6650          | 0.5873   |
+| 0.1728        | 11.0  | 10164 | 2.8556          | 0.5867   |
+| 0.028         | 12.0  | 11088 | 3.0398          | 0.6003   |
+| 0.0023        | 13.0  | 12012 | 3.3114          | 0.6044   |
+| 0.0042        | 14.0  | 12936 | 3.3149          | 0.6082   |
+| 0.0192        | 15.0  | 13860 | 3.4661          | 0.6028   |
+| 0.0004        | 16.0  | 14784 | 3.5853          | 0.6058   |
+| 0.0363        | 17.0  | 15708 | 3.5853          | 0.6144   |
+| 0.0           | 18.0  | 16632 | 3.7544          | 0.6123   |
+| 0.002         | 19.0  | 17556 | 3.7503          | 0.6155   |
+| 0.0           | 20.0  | 18480 | 3.7539          | 0.6201   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6371d16b5de4f4ec7bb43f08c9989ae7a9464a1ed60b6567d4029e69e6fab5ca
 size 343129544

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a0a7a82bbdc61b87b1e9f0c42fa74681dd07b0d74badb85b0bbbdb0ef46ba18f
+oid sha256:56a7478b71e1f5d4dc59c68db6526226f5d108e2ffd421741519833598e8800e
 size 4704