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End of training
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README.md
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---
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license: apache-2.0
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base_model: microsoft/beit-base-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: Psoriasis-Project-M-beit-base-patch16-224-pt22k-ft22k
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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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# Psoriasis-Project-M-beit-base-patch16-224-pt22k-ft22k
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-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: 0.1695
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- Accuracy: 0.9792
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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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| No log | 0.92 | 6 | 0.3253 | 0.8958 |
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| 0.0442 | 2.0 | 13 | 0.2781 | 0.9167 |
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| 0.0442 | 2.92 | 19 | 0.2423 | 0.9167 |
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| 0.0205 | 4.0 | 26 | 0.2234 | 0.9375 |
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| 0.0073 | 4.92 | 32 | 0.1979 | 0.9583 |
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| 0.0073 | 6.0 | 39 | 0.1701 | 0.9792 |
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| 0.0055 | 6.92 | 45 | 0.1599 | 0.9792 |
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| 0.0071 | 8.0 | 52 | 0.1710 | 0.9792 |
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| 0.0071 | 8.92 | 58 | 0.1704 | 0.9792 |
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| 0.003 | 9.23 | 60 | 0.1695 | 0.9792 |
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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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model.safetensors
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