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README.md
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---
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library_name: transformers
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license: other
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base_model: apple/mobilevit-xx-small
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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: mobilevit-xx-small-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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# mobilevit-xx-small-FireRisk
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This model is a fine-tuned version of [apple/mobilevit-xx-small](https://huggingface.co/apple/mobilevit-xx-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9969
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- Accuracy: 0.6119
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- Precision: 0.5205
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- Recall: 0.4804
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- F1: 0.4757
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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: 128
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- eval_batch_size: 128
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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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| 1.1535 | 1.0 | 550 | 1.0990 | 0.5983 | 0.4529 | 0.4643 | 0.4518 |
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| 1.1244 | 2.0 | 1100 | 1.0341 | 0.6075 | 0.5178 | 0.4768 | 0.4656 |
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| 1.0729 | 3.0 | 1650 | 1.0131 | 0.6105 | 0.5131 | 0.4761 | 0.4686 |
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| 1.0514 | 4.0 | 2200 | 1.0073 | 0.6099 | 0.5149 | 0.4799 | 0.4761 |
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| 1.0221 | 5.0 | 2750 | 0.9969 | 0.6119 | 0.5205 | 0.4804 | 0.4757 |
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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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