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--- |
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license: apache-2.0 |
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base_model: google/vit-large-patch16-224 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: vit-xray-chest-classification-pneumonia |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mthandazogegane/huggingface/runs/oj2ksbq2) |
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# vit-xray-chest-classification-pneumonia |
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This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1390 |
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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: 10 |
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- eval_batch_size: 4 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 469 | 0.2521 | |
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| 0.2725 | 2.0 | 938 | 0.1408 | |
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| 0.1912 | 3.0 | 1407 | 0.1250 | |
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| 0.1708 | 4.0 | 1876 | 0.0978 | |
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| 0.1482 | 5.0 | 2345 | 0.1008 | |
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| 0.1424 | 6.0 | 2814 | 0.1339 | |
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| 0.124 | 7.0 | 3283 | 0.0987 | |
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| 0.1257 | 8.0 | 3752 | 0.1206 | |
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| 0.1085 | 9.0 | 4221 | 0.1409 | |
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| 0.0947 | 10.0 | 4690 | 0.1390 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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