metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-sketch-classifier
results: []
beit-sketch-classifier
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6083
- Accuracy: 0.7480
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3452 | 1.0 | 3151 | 1.3825 | 0.6702 |
| 1.052 | 2.0 | 6302 | 1.0776 | 0.7252 |
| 0.9884 | 3.0 | 9453 | 0.9989 | 0.7443 |
| 0.8054 | 4.0 | 12604 | 0.9747 | 0.7526 |
| 0.6271 | 5.0 | 15755 | 0.9770 | 0.7558 |
| 0.5719 | 6.0 | 18906 | 1.0201 | 0.7528 |
| 0.3557 | 7.0 | 22057 | 1.0702 | 0.7523 |
| 0.2637 | 8.0 | 25208 | 1.1324 | 0.7501 |
| 0.1878 | 9.0 | 28359 | 1.2129 | 0.7434 |
| 0.1616 | 10.0 | 31510 | 1.2692 | 0.7457 |
| 0.1148 | 11.0 | 34661 | 1.3425 | 0.7435 |
| 0.0867 | 12.0 | 37812 | 1.3999 | 0.7430 |
| 0.065 | 13.0 | 40963 | 1.4472 | 0.7442 |
| 0.0489 | 14.0 | 44114 | 1.4836 | 0.7457 |
| 0.0365 | 15.0 | 47265 | 1.5194 | 0.7445 |
| 0.0386 | 16.0 | 50416 | 1.5506 | 0.7458 |
| 0.0315 | 17.0 | 53567 | 1.5778 | 0.7461 |
| 0.0236 | 18.0 | 56718 | 1.5986 | 0.7467 |
| 0.0264 | 19.0 | 59869 | 1.6085 | 0.7475 |
| 0.0146 | 20.0 | 63020 | 1.6083 | 0.7480 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2