Augusto777
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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
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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: 0.1107
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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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model.safetensors
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