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--- |
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license: apache-2.0 |
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base_model: microsoft/beit-large-patch16-224-pt22k-ft22k |
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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: 0.50-500Train-100Test-beit-large |
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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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# 0.50-500Train-100Test-beit-large |
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This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k-ft22k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7076 |
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- Accuracy: 0.8515 |
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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: 5 |
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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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| 0.2287 | 0.9973 | 92 | 0.6058 | 0.8157 | |
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| 0.1191 | 1.9946 | 184 | 0.7659 | 0.8070 | |
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| 0.0311 | 2.9919 | 276 | 0.6945 | 0.8271 | |
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| 0.0076 | 4.0 | 369 | 0.7174 | 0.8437 | |
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| 0.0012 | 4.9864 | 460 | 0.7076 | 0.8515 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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