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--- |
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license: apache-2.0 |
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base_model: facebook/deit-tiny-patch16-224 |
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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: hushem_conflu_deneme_fold1 |
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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: test |
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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: 0.5111111111111111 |
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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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# hushem_conflu_deneme_fold1 |
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This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8961 |
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- Accuracy: 0.5111 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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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 | 6 | 1.4190 | 0.2444 | |
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| 1.9213 | 2.0 | 12 | 1.3227 | 0.3111 | |
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| 1.9213 | 3.0 | 18 | 2.3526 | 0.2444 | |
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| 1.2734 | 4.0 | 24 | 1.7104 | 0.3778 | |
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| 1.0407 | 5.0 | 30 | 1.6039 | 0.3556 | |
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| 1.0407 | 6.0 | 36 | 1.2459 | 0.4667 | |
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| 0.733 | 7.0 | 42 | 1.3344 | 0.4667 | |
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| 0.733 | 8.0 | 48 | 1.5744 | 0.5556 | |
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| 0.448 | 9.0 | 54 | 1.2479 | 0.5556 | |
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| 0.3254 | 10.0 | 60 | 2.2545 | 0.5333 | |
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| 0.3254 | 11.0 | 66 | 1.7472 | 0.5333 | |
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| 0.2088 | 12.0 | 72 | 2.0350 | 0.5778 | |
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| 0.2088 | 13.0 | 78 | 3.0002 | 0.4889 | |
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| 0.1216 | 14.0 | 84 | 2.1774 | 0.5556 | |
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| 0.0746 | 15.0 | 90 | 2.5953 | 0.5333 | |
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| 0.0746 | 16.0 | 96 | 2.8934 | 0.5111 | |
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| 0.0176 | 17.0 | 102 | 2.8961 | 0.5111 | |
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| 0.0176 | 18.0 | 108 | 2.8961 | 0.5111 | |
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| 0.0201 | 19.0 | 114 | 2.8961 | 0.5111 | |
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| 0.0136 | 20.0 | 120 | 2.8961 | 0.5111 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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