metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-for-kaggle-mayo-clinic
results: []
vit-for-kaggle-mayo-clinic
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5538
- Accuracy: 0.7616
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 10 | 0.5944 | 0.7483 |
| No log | 2.0 | 20 | 0.5640 | 0.7483 |
| No log | 3.0 | 30 | 0.5582 | 0.7483 |
| No log | 4.0 | 40 | 0.5585 | 0.7483 |
| No log | 5.0 | 50 | 0.5598 | 0.7483 |
| No log | 6.0 | 60 | 0.5484 | 0.7483 |
| No log | 7.0 | 70 | 0.5524 | 0.7417 |
| No log | 8.0 | 80 | 0.5538 | 0.7616 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1