End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
+base_model: google/vit-base-patch16-224
 tags:
 - generated_from_trainer
 datasets:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.6527777777777778
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # CIDAUTv2
 
-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.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0410
-- Accuracy: 1.0
+- Loss: 0.6279
+- Accuracy: 0.6528
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9524 | 5    | 0.5994          | 0.6806   |
-| 0.5933        | 1.9048 | 10   | 0.3286          | 0.8889   |
-| 0.5933        | 2.8571 | 15   | 0.1159          | 0.9861   |
-| 0.1778        | 4.0    | 21   | 0.1076          | 0.9861   |
-| 0.1778        | 4.7619 | 25   | 0.0410          | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 4    | 0.8011          | 0.5741   |
+| No log        | 2.0   | 8    | 0.6474          | 0.6759   |
+| 0.7485        | 3.0   | 12   | 0.6923          | 0.5463   |
+| 0.7485        | 4.0   | 16   | 0.6292          | 0.6713   |
+| 0.6057        | 5.0   | 20   | 0.6279          | 0.6528   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:366a0f0c804cd1ad55cb459f247bfeb37de8d16aea7e88d19db99f2949531bd5
+oid sha256:9b07a5bc0a9a1cf061b9328a07caa9e782ef781562a0b42d83abf3371f78cade
 size 343223968

runs/Nov07_16-46-16_e82af54a1144/events.out.tfevents.1730997978.e82af54a1144.30.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce4365c76792141a051092cf07153d941112e269e04ea5daff12545c3d08fef3
-size 6607
+oid sha256:7d9a84030d74f8b9f8b471310dd02df4320e4143278ec6650dcb73fdceb43139
+size 7272