End of training
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README.md
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base_model: facebook/deit-base-distilled-patch16-224
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tags:
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- generated_from_trainer
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model-index:
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- name: feb7th
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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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# feb7th
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.35.2
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base_model: facebook/deit-base-distilled-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: feb7th
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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: 0.9898785425101214
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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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# feb7th
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0464
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- Accuracy: 0.9899
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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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 | 0.97 | 12 | 0.0598 | 0.9798 |
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| No log | 1.94 | 24 | 0.0480 | 0.9879 |
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| No log | 2.98 | 37 | 0.0531 | 0.9838 |
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| No log | 3.95 | 49 | 0.0456 | 0.9899 |
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| No log | 4.84 | 60 | 0.0464 | 0.9899 |
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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size 343255024
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