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: nan
-- Accuracy: 0.0630
-- Memory Allocated (gb): 1.53
-- Max Memory Allocated (gb): 1.61
-- Total Memory Available (gb): 126.62
+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
 

config.json

@@ -54,7 +54,6 @@
   "num_channels": 3,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.45.2"

runs/Nov06_05-34-13_gtown-28NZK54/events.out.tfevents.1730871261.gtown-28NZK54.4600.0

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+size 6838

training_args.bin

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