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--- |
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license: apache-2.0 |
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base_model: microsoft/cvt-21-384-22k |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: cvt-21-384-22k-finetuned-LeafBack |
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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: imagefolder |
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type: imagefolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.961038961038961 |
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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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# cvt-21-384-22k-finetuned-LeafBack |
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This model is a fine-tuned version of [microsoft/cvt-21-384-22k](https://huggingface.co/microsoft/cvt-21-384-22k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1357 |
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- Accuracy: 0.9610 |
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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: 40 |
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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: 30 |
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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 | 16 | 0.4915 | 0.7662 | |
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| No log | 2.0 | 32 | 0.4215 | 0.7922 | |
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| No log | 3.0 | 48 | 0.3265 | 0.8831 | |
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| No log | 4.0 | 64 | 0.2275 | 0.8961 | |
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| No log | 5.0 | 80 | 0.2464 | 0.8571 | |
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| No log | 6.0 | 96 | 0.2023 | 0.9091 | |
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| No log | 7.0 | 112 | 0.2282 | 0.8961 | |
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| No log | 8.0 | 128 | 0.1933 | 0.9091 | |
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| No log | 9.0 | 144 | 0.2563 | 0.8701 | |
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| No log | 10.0 | 160 | 0.1911 | 0.9091 | |
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| No log | 11.0 | 176 | 0.2113 | 0.9351 | |
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| No log | 12.0 | 192 | 0.1680 | 0.9221 | |
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| No log | 13.0 | 208 | 0.2042 | 0.9351 | |
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| No log | 14.0 | 224 | 0.1466 | 0.9221 | |
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| No log | 15.0 | 240 | 0.1277 | 0.9351 | |
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| No log | 16.0 | 256 | 0.1558 | 0.9351 | |
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| No log | 17.0 | 272 | 0.1407 | 0.9221 | |
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| No log | 18.0 | 288 | 0.1538 | 0.9351 | |
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| No log | 19.0 | 304 | 0.1735 | 0.9221 | |
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| No log | 20.0 | 320 | 0.1640 | 0.9481 | |
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| No log | 21.0 | 336 | 0.1774 | 0.9221 | |
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| No log | 22.0 | 352 | 0.1369 | 0.9481 | |
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| No log | 23.0 | 368 | 0.1503 | 0.9481 | |
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| No log | 24.0 | 384 | 0.2836 | 0.9221 | |
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| No log | 25.0 | 400 | 0.1777 | 0.9221 | |
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| No log | 26.0 | 416 | 0.1820 | 0.9351 | |
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| No log | 27.0 | 432 | 0.1260 | 0.9481 | |
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| No log | 28.0 | 448 | 0.1539 | 0.9221 | |
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| No log | 29.0 | 464 | 0.1622 | 0.9481 | |
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| No log | 30.0 | 480 | 0.1357 | 0.9610 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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