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--- |
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license: apache-2.0 |
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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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- recall |
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model-index: |
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- name: vca |
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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: Recall |
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type: recall |
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value: 0.7818181818181819 |
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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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# vca |
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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: 0.3844 |
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- Recall: 0.7818 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 11 | 0.4763 | 0.6987 | |
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| No log | 2.0 | 22 | 0.4438 | 0.6390 | |
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| No log | 3.0 | 33 | 0.4511 | 0.5870 | |
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| No log | 4.0 | 44 | 0.4084 | 0.7610 | |
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| No log | 5.0 | 55 | 0.3562 | 0.8078 | |
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| No log | 6.0 | 66 | 0.3844 | 0.7818 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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