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--- |
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license: apache-2.0 |
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base_model: microsoft/swinv2-tiny-patch4-window16-256 |
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tags: |
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- image-classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: save-model-final |
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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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# save-model-final |
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the jbarat/plant_species dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3658 |
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- Accuracy: 0.875 |
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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: 0.0003 |
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- train_batch_size: 64 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 10 | 1.0202 | 0.675 | |
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| No log | 2.0 | 20 | 0.7625 | 0.7375 | |
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| No log | 3.0 | 30 | 0.5602 | 0.8625 | |
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| No log | 4.0 | 40 | 0.5282 | 0.825 | |
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| No log | 5.0 | 50 | 0.8285 | 0.7875 | |
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| No log | 6.0 | 60 | 0.6724 | 0.825 | |
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| No log | 7.0 | 70 | 0.7429 | 0.8125 | |
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| No log | 8.0 | 80 | 0.9518 | 0.8125 | |
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| No log | 9.0 | 90 | 0.8012 | 0.8125 | |
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| 0.2718 | 10.0 | 100 | 0.8500 | 0.8125 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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