End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my_classification
+  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. -->
+
+# my_classification
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3033
+- Accuracy: 0.7277
+
+## 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: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5.7973        | 1.0   | 175  | 4.2373          | 0.1537   |
+| 3.3114        | 2.0   | 350  | 2.8087          | 0.4224   |
+| 1.68          | 3.0   | 525  | 1.9823          | 0.5983   |
+| 0.7776        | 4.0   | 700  | 1.6113          | 0.6648   |
+| 0.3974        | 5.0   | 875  | 1.4166          | 0.6962   |
+| 0.1666        | 6.0   | 1050 | 1.3312          | 0.7119   |
+| 0.0657        | 7.0   | 1225 | 1.3033          | 0.7277   |
+| 0.0315        | 8.0   | 1400 | 1.3021          | 0.7191   |
+| 0.0187        | 9.0   | 1575 | 1.2946          | 0.7198   |
+| 0.0146        | 10.0  | 1750 | 1.3018          | 0.7191   |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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