End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5
+      value: 1.0
 ---
 
 <!-- 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7206
-- Accuracy: 0.5
+- Loss: 0.6151
+- Accuracy: 1.0
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7368          | 0.5      |
-| No log        | 2.0   | 2    | 0.7313          | 0.25     |
-| No log        | 3.0   | 3    | 0.7206          | 0.5      |
+| No log        | 1.0   | 1    | 0.6501          | 0.75     |
+| No log        | 2.0   | 2    | 0.6490          | 1.0      |
+| No log        | 3.0   | 3    | 0.6151          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5301c8038b21b5d7cc32b953698e52c3bea6d524d604ce76264f475cb9b6c33c
+oid sha256:8c5ba1ab987a2bea733ad111ef6714950710fb5b3cb2c2817deaa81f81e381b4
 size 343223968

runs/Apr02_08-35-49_3fde45d4181a/events.out.tfevents.1712046950.3fde45d4181a.464.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:244c35afe7cb3057c7159c9be56250539cd65492d8ff7e84cee517e3817f5e6d
+size 5847

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:027e0647495212b0987922c36a4351e741c343d7080aad09c55ea563b0ab3a97
+oid sha256:90ea7bddddde6d57c9795bcb0a8f201bb320c0b0a4138e69b16e0d8d3d8a5834
 size 4920