Model save

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 3.6956
-- eval_accuracy: 0.0244
-- eval_runtime: 7.9874
-- eval_samples_per_second: 92.52
-- eval_steps_per_second: 5.884
+- eval_loss: 3.7515
+- eval_accuracy: 0.0325
+- eval_runtime: 5.6868
+- eval_samples_per_second: 129.95
+- eval_steps_per_second: 8.265
 - step: 0
 
 ## Model description
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Framework versions
 

model.safetensors

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runs/Dec30_11-49-04_gpu-cv/events.out.tfevents.1735555753.gpu-cv

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runs/Dec30_14-02-31_gpu-cv/events.out.tfevents.1735563757.gpu-cv

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training_args.bin

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