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- model.safetensors +1 -1
README.md
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 22125780
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version https://git-lfs.github.com/spec/v1
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size 22125780
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