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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/deit-tiny-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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: deit-tiny-patch16-224-FireRisk |
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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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# deit-tiny-patch16-224-FireRisk |
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This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9478 |
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- Accuracy: 0.6253 |
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- Precision: 0.5221 |
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- Recall: 0.5179 |
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- F1: 0.5190 |
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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: 0.0001 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.9714 | 1.0 | 138 | 0.9923 | 0.6114 | 0.5167 | 0.5118 | 0.5070 | |
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| 0.9482 | 2.0 | 276 | 0.9760 | 0.6094 | 0.4985 | 0.5138 | 0.5030 | |
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| 0.9263 | 3.0 | 414 | 0.9398 | 0.6314 | 0.5226 | 0.5202 | 0.5180 | |
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| 0.903 | 4.0 | 552 | 0.9683 | 0.6183 | 0.5141 | 0.5021 | 0.5039 | |
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| 0.8536 | 5.0 | 690 | 0.9478 | 0.6253 | 0.5221 | 0.5179 | 0.5190 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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