End of training

README.md

@@ -14,6 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 # vit-base-patch16-224-in21k-cards-june-07-cropping-filtered-preprocess-change-test
 
 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 None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.4854
+- eval_accuracy: 0.4582
+- eval_runtime: 82.8936
+- eval_samples_per_second: 120.637
+- eval_steps_per_second: 0.483
+- epoch: 12.9981
+- step: 1682
 
 ## Model description
 
@@ -41,7 +49,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 15
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:30e844bfe1352559786dc88831b6ec75c11b855aac332439481d3efe0e912d73
 size 343248584