End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: mutli_class_clasification
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # mutli_class_clasification
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8333
+- Accuracy: 0.8796
 
 ## Model description
 
@@ -41,6 +46,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4273        | 1.0   | 370  | 0.8333          | 0.8796   |
+| 0.4584        | 2.0   | 740  | 0.4355          | 0.9161   |
+| 0.354         | 3.0   | 1110 | 0.3483          | 0.9296   |
+| 0.299         | 4.0   | 1480 | 0.3173          | 0.9330   |
+| 0.2639        | 5.0   | 1850 | 0.3092          | 0.9310   |
+
+
 ### Framework versions
 
 - Transformers 4.55.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6a388fca2120cbcaa8a242dd99c7d32eecd7a94ecad3ce26aefe2e971ad590be
+oid sha256:0ee48b3138b1299798603bf97efc460ac6c99d77d8ce272ad43b88d20863335a
 size 343331644