End of training

README.md

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+---
+library_name: transformers
+base_model: bninaos/fine-tuned-vit
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuned-ViT-model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# finetuned-ViT-model
+
+This model is a fine-tuned version of [bninaos/fine-tuned-vit](https://huggingface.co/bninaos/fine-tuned-vit) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9937
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-06
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.50.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.4.1
+- Tokenizers 0.21.0

runs/Mar27_02-43-31_122ce2aa48bb/events.out.tfevents.1743043885.122ce2aa48bb.71.6

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