Model save

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: sebastiansarasti
+  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. -->
+
+# sebastiansarasti
+
+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:
+- Loss: 1.5460
+- Accuracy: 0.3786
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 52   | 1.4555          | 0.3301   |
+| No log        | 2.0   | 104  | 1.4709          | 0.2621   |
+| No log        | 3.0   | 156  | 1.4634          | 0.3107   |
+| No log        | 4.0   | 208  | 1.6076          | 0.3301   |
+| No log        | 5.0   | 260  | 1.4538          | 0.3592   |
+| No log        | 6.0   | 312  | 1.5070          | 0.3981   |
+| No log        | 7.0   | 364  | 1.5530          | 0.3689   |
+| No log        | 8.0   | 416  | 1.4718          | 0.3398   |
+| No log        | 9.0   | 468  | 1.4676          | 0.3495   |
+| 1.4219        | 10.0  | 520  | 1.5460          | 0.3786   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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