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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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base_model: google/vit-base-patch16-224-in21k |
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model-index: |
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- name: vit-fire-detection |
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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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# vit-fire-detection |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0126 |
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- Precision: 0.9960 |
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- Recall: 0.9960 |
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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: 0.0002 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| 0.1018 | 1.0 | 190 | 0.0375 | 0.9934 | 0.9934 | |
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| 0.0484 | 2.0 | 380 | 0.0167 | 0.9961 | 0.9960 | |
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| 0.0357 | 3.0 | 570 | 0.0253 | 0.9948 | 0.9947 | |
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| 0.0133 | 4.0 | 760 | 0.0198 | 0.9961 | 0.9960 | |
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| 0.012 | 5.0 | 950 | 0.0203 | 0.9947 | 0.9947 | |
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| 0.0139 | 6.0 | 1140 | 0.0204 | 0.9947 | 0.9947 | |
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| 0.0076 | 7.0 | 1330 | 0.0175 | 0.9961 | 0.9960 | |
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| 0.0098 | 8.0 | 1520 | 0.0115 | 0.9974 | 0.9974 | |
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| 0.0062 | 9.0 | 1710 | 0.0133 | 0.9960 | 0.9960 | |
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| 0.0012 | 10.0 | 1900 | 0.0126 | 0.9960 | 0.9960 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.14.0.dev20221111 |
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- Datasets 2.8.0 |
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- Tokenizers 0.12.1 |
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