Model save

README.md

@@ -3,11 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: vit-base-patch16-224-in21k
   results: []
@@ -18,13 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-patch16-224-in21k
 
-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 chainyo/rvl-cdip dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4218
-- Accuracy: 0.8789
-- Memory Allocated (gb): 1.47
-- Max Memory Allocated (gb): 2.09
-- Total Memory Available (gb): 94.62
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 
 ## Model description
 
@@ -59,5 +49,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.45.2
 - Pytorch 2.4.0a0+git74cd574
-- Datasets 3.0.2
+- Datasets 3.1.0
 - Tokenizers 0.20.1