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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: vit-base-patch16-224-perros-y-gatos |
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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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# vit-base-patch16-224-perros-y-gatos |
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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: 0.1577 |
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- Accuracy: 1.0 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 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 | 0.8889 | 6 | 0.6543 | 0.5789 | |
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| 0.5484 | 1.9259 | 13 | 0.3385 | 0.8421 | |
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| 0.5484 | 2.9630 | 20 | 0.2123 | 0.9474 | |
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| 0.2164 | 4.0 | 27 | 0.1577 | 1.0 | |
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| 0.2164 | 4.8889 | 33 | 0.1404 | 1.0 | |
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| 0.1367 | 5.9259 | 40 | 0.1375 | 0.9474 | |
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| 0.1367 | 6.9630 | 47 | 0.1312 | 1.0 | |
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| 0.1155 | 8.0 | 54 | 0.1140 | 1.0 | |
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| 0.0878 | 8.8889 | 60 | 0.1107 | 1.0 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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