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README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: sebastiansarasti
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sebastiansarasti
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.5460
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- Accuracy: 0.3786
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 52 | 1.4555 | 0.3301 |
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| No log | 2.0 | 104 | 1.4709 | 0.2621 |
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| No log | 3.0 | 156 | 1.4634 | 0.3107 |
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| No log | 4.0 | 208 | 1.6076 | 0.3301 |
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| No log | 5.0 | 260 | 1.4538 | 0.3592 |
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| No log | 6.0 | 312 | 1.5070 | 0.3981 |
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| No log | 7.0 | 364 | 1.5530 | 0.3689 |
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| No log | 8.0 | 416 | 1.4718 | 0.3398 |
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| No log | 9.0 | 468 | 1.4676 | 0.3495 |
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| 1.4219 | 10.0 | 520 | 1.5460 | 0.3786 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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