Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-base-patch16-224-perros-y-gatos
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vit-base-patch16-224-perros-y-gatos
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.1107
+- Accuracy: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.8889 | 6    | 0.6543          | 0.5789   |
+| 0.5484        | 1.9259 | 13   | 0.3385          | 0.8421   |
+| 0.5484        | 2.9630 | 20   | 0.2123          | 0.9474   |
+| 0.2164        | 4.0    | 27   | 0.1577          | 1.0      |
+| 0.2164        | 4.8889 | 33   | 0.1404          | 1.0      |
+| 0.1367        | 5.9259 | 40   | 0.1375          | 0.9474   |
+| 0.1367        | 6.9630 | 47   | 0.1312          | 1.0      |
+| 0.1155        | 8.0    | 54   | 0.1140          | 1.0      |
+| 0.0878        | 8.8889 | 60   | 0.1107          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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