Model save

README.md

@@ -1,14 +1,10 @@
 ---
-base_model: d071696/vit-base-scraps
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- image-feature-extraction
-- image-to-text
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: vit-finetune-scrap
   results: []
@@ -19,10 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-finetune-scrap
 
-This model is a fine-tuned version of [d071696/vit-base-scraps](https://huggingface.co/d071696/vit-base-scraps) on the d071696/scraps1 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.9564
-- Accuracy: 0.9
+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.
 
 ## Model description
 
@@ -41,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0002
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a110e8eea8034693e2f9b34ef810e41d42ce5a7e707f54a013b839c3f1b5b767
+oid sha256:39ab02081aad8b3facc740a3a55fe0032875595df4d86a3c0a69410c98815358
 size 343254736

runs/Mar22_10-36-16_X5C922065N/events.out.tfevents.1711100182.X5C922065N.86888.19

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e1524abc29596e991314fbb92d8a578dee10cd134e19f0f7055b499da0c3598
+size 6019

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9a79c48ba8aeb2615e658d16d47f54e2bf2a17ca426a455b1dd5827cc7a4e0e
+oid sha256:0ffb3836fc13e4220a1472277b0c051f776685957c1c92d04a9b6c67776c2cb0
 size 4920