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update model card README.md
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README.md
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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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