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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-PinnatelyCompound |
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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: 0.9955357142857143 |
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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-PinnatelyCompound |
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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: 0.0064 |
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- Accuracy: 0.9955 |
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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 | 23 | 0.2918 | 0.8973 | |
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| No log | 2.0 | 46 | 0.1656 | 0.9330 | |
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| No log | 3.0 | 69 | 0.0529 | 0.9821 | |
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| No log | 4.0 | 92 | 0.0144 | 0.9955 | |
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| No log | 5.0 | 115 | 0.0266 | 0.9911 | |
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| No log | 6.0 | 138 | 0.0244 | 0.9955 | |
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| No log | 7.0 | 161 | 0.0144 | 0.9955 | |
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| No log | 8.0 | 184 | 0.0154 | 0.9955 | |
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| No log | 9.0 | 207 | 0.0188 | 0.9911 | |
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| No log | 10.0 | 230 | 0.0094 | 0.9955 | |
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| No log | 11.0 | 253 | 0.0055 | 1.0 | |
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| No log | 12.0 | 276 | 0.0026 | 1.0 | |
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| No log | 13.0 | 299 | 0.0057 | 1.0 | |
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| No log | 14.0 | 322 | 0.0079 | 0.9955 | |
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| No log | 15.0 | 345 | 0.0026 | 1.0 | |
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| No log | 16.0 | 368 | 0.0017 | 1.0 | |
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| No log | 17.0 | 391 | 0.0044 | 0.9955 | |
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| No log | 18.0 | 414 | 0.0038 | 1.0 | |
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| No log | 19.0 | 437 | 0.0120 | 0.9911 | |
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| No log | 20.0 | 460 | 0.0005 | 1.0 | |
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| No log | 21.0 | 483 | 0.0019 | 1.0 | |
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| 0.2553 | 22.0 | 506 | 0.0020 | 1.0 | |
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| 0.2553 | 23.0 | 529 | 0.0026 | 1.0 | |
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| 0.2553 | 24.0 | 552 | 0.0053 | 0.9955 | |
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| 0.2553 | 25.0 | 575 | 0.0009 | 1.0 | |
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| 0.2553 | 26.0 | 598 | 0.0008 | 1.0 | |
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| 0.2553 | 27.0 | 621 | 0.0016 | 1.0 | |
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| 0.2553 | 28.0 | 644 | 0.0010 | 1.0 | |
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| 0.2553 | 29.0 | 667 | 0.0008 | 1.0 | |
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| 0.2553 | 30.0 | 690 | 0.0064 | 0.9955 | |
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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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