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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- image_folder |
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metrics: |
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- f1 |
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model-index: |
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- name: vit_flyswot_test |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: image_folder |
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type: image_folder |
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args: default |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.849172221610369 |
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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_flyswot_test |
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This model is a fine-tuned version of [](https://huggingface.co/) on the image_folder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4777 |
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- F1: 0.8492 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 666 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 52 | 1.2007 | 0.3533 | |
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| No log | 2.0 | 104 | 1.0037 | 0.5525 | |
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| No log | 3.0 | 156 | 0.8301 | 0.6318 | |
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| No log | 4.0 | 208 | 0.7224 | 0.6946 | |
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| No log | 5.0 | 260 | 0.7298 | 0.7145 | |
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| No log | 6.0 | 312 | 0.6328 | 0.7729 | |
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| No log | 7.0 | 364 | 0.6010 | 0.7992 | |
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| No log | 8.0 | 416 | 0.5174 | 0.8364 | |
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| No log | 9.0 | 468 | 0.5084 | 0.8479 | |
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| 0.6372 | 10.0 | 520 | 0.4777 | 0.8492 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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