Model save

README.md

@@ -3,8 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 model-index:
 - name: vit-base-patch16-224-in21k
@@ -16,18 +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:
-- eval_loss: 2.7757
-- eval_model_preparation_time: 0.0143
-- eval_accuracy: 0.0567
-- eval_runtime: 351.0327
-- eval_samples_per_second: 136.739
-- eval_steps_per_second: 2.137
-- memory_allocated (GB): 0.79
-- max_memory_allocated (GB): 0.87
-- total_memory_available (GB): 94.62
-- step: 0
+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
 
@@ -54,6 +41,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.45.2