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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: 0.9674 |
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- Accuracy: 0.6225 |
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- Precision: 0.5196 |
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- Recall: 0.5188 |
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- F1: 0.5181 |
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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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| 1.0629 | 1.0 | 138 | 1.0164 | 0.5956 | 0.5031 | 0.4563 | 0.4436 | |
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| 1.0186 | 2.0 | 276 | 1.0379 | 0.5866 | 0.4789 | 0.4931 | 0.4796 | |
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| 0.9796 | 3.0 | 414 | 0.9674 | 0.6225 | 0.5196 | 0.5188 | 0.5181 | |
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| 0.9739 | 4.0 | 552 | 0.9854 | 0.6101 | 0.5081 | 0.4931 | 0.4942 | |
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| 0.9154 | 5.0 | 690 | 0.9508 | 0.6217 | 0.5172 | 0.5066 | 0.5096 | |
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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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