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# tropical_cyclone_regression_2022

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: 763.5535
- Rmse: 27.6325

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rmse    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 654.3442      | 1.0   | 133  | 812.8867        | 28.5112 |
| 690.0741      | 2.0   | 266  | 776.2521        | 27.8613 |
| 567.022       | 3.0   | 399  | 763.5535        | 27.6325 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "tropical_cyclone_regression_2022", "results": []}]}
transformers safetensors vit image-classification generated_from_trainer base_model:google/vit-base-patch16-224-in21k license:apache-2.0 autotrain_compatible endpoints_compatible region:us