End of training
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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-in21k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: image_classification
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.61875
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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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# image_classification
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1196
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- Accuracy: 0.6188
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 20
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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 | 40 | 1.8353 | 0.4 |
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| No log | 2.0 | 80 | 1.5508 | 0.5062 |
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| No log | 3.0 | 120 | 1.4576 | 0.45 |
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| No log | 4.0 | 160 | 1.3557 | 0.5062 |
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| No log | 5.0 | 200 | 1.2596 | 0.5687 |
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| No log | 6.0 | 240 | 1.2627 | 0.5125 |
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| No log | 7.0 | 280 | 1.1809 | 0.5687 |
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| No log | 8.0 | 320 | 1.1993 | 0.575 |
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| No log | 9.0 | 360 | 1.2327 | 0.5375 |
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| No log | 10.0 | 400 | 1.1796 | 0.5938 |
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| No log | 11.0 | 440 | 1.1102 | 0.6062 |
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| No log | 12.0 | 480 | 1.2828 | 0.5375 |
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| 1.0547 | 13.0 | 520 | 1.1936 | 0.5875 |
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| 1.0547 | 14.0 | 560 | 1.2056 | 0.5563 |
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| 1.0547 | 15.0 | 600 | 1.2566 | 0.5625 |
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| 1.0547 | 16.0 | 640 | 1.1936 | 0.6438 |
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| 1.0547 | 17.0 | 680 | 1.1728 | 0.5813 |
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| 1.0547 | 18.0 | 720 | 1.2201 | 0.5875 |
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| 1.0547 | 19.0 | 760 | 1.2704 | 0.5563 |
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| 1.0547 | 20.0 | 800 | 1.2232 | 0.5375 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jun02_15-16-26_8d6c5518a40f/events.out.tfevents.1717341398.8d6c5518a40f.956.2
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