Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: donut-base-beans
+  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. -->
+
+# donut-base-beans
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.0542
+- Accuracy: 0.4973
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0751        | 1.0   | 6733  | 0.0649          | 0.4973   |
+| 0.0672        | 2.0   | 13466 | 0.0566          | 0.4973   |
+| 0.0518        | 3.0   | 20199 | 0.0561          | 0.4973   |
+| 0.0548        | 4.0   | 26932 | 0.0538          | 0.4973   |
+| 0.0461        | 5.0   | 33665 | 0.0542          | 0.4973   |
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.1.2+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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