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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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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: my_awesome_mingliangqiangu_model |
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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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# my_awesome_mingliangqiangu_model |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1140 |
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- Accuracy: 0.9981 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 1.7575 | 0.99 | 67 | 1.3989 | 0.9287 | |
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| 0.4806 | 2.0 | 135 | 0.4502 | 0.9935 | |
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| 0.2902 | 2.99 | 202 | 0.2922 | 0.9944 | |
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| 0.2073 | 4.0 | 270 | 0.2118 | 0.9981 | |
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| 0.1975 | 4.99 | 337 | 0.1831 | 0.9963 | |
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| 0.1514 | 6.0 | 405 | 0.1576 | 0.9935 | |
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| 0.1282 | 6.99 | 472 | 0.1290 | 1.0 | |
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| 0.1224 | 8.0 | 540 | 0.1317 | 0.9963 | |
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| 0.1147 | 8.99 | 607 | 0.1127 | 1.0 | |
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| 0.1129 | 9.93 | 670 | 0.1140 | 0.9981 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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