Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: hurricane_model
+  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. -->
+
+# hurricane_model
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0256
+- Model Preparation Time: 0.0051
+- Accuracy: 0.994
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|
+| 0.1118        | 0.3195 | 100  | 0.1486          | 0.0051                 | 0.9476   |
+| 0.1112        | 0.6390 | 200  | 0.0701          | 0.0051                 | 0.9752   |
+| 0.0694        | 0.9585 | 300  | 0.0608          | 0.0051                 | 0.9808   |
+| 0.0048        | 1.2780 | 400  | 0.0917          | 0.0051                 | 0.9744   |
+| 0.036         | 1.5974 | 500  | 0.0552          | 0.0051                 | 0.9836   |
+| 0.0594        | 1.9169 | 600  | 0.0547          | 0.0051                 | 0.9808   |
+| 0.0115        | 2.2364 | 700  | 0.0627          | 0.0051                 | 0.9844   |
+| 0.0016        | 2.5559 | 800  | 0.0296          | 0.0051                 | 0.9936   |
+| 0.004         | 2.8754 | 900  | 0.0325          | 0.0051                 | 0.9916   |
+| 0.0009        | 3.1949 | 1000 | 0.0224          | 0.0051                 | 0.9948   |
+| 0.0008        | 3.5144 | 1100 | 0.0270          | 0.0051                 | 0.9936   |
+| 0.0008        | 3.8339 | 1200 | 0.0256          | 0.0051                 | 0.994    |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

model.safetensors

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