metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-sketch-classifier-pt-metaset
results: []
beit-sketch-classifier-pt-metaset
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: 0.6732
- Accuracy: 0.8277
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8069 | 1.0 | 76608 | 0.7673 | 0.7988 |
| 0.6922 | 2.0 | 153216 | 0.6982 | 0.8159 |
| 0.6289 | 3.0 | 229824 | 0.6709 | 0.8236 |
| 0.5332 | 4.0 | 306432 | 0.6635 | 0.8271 |
| 0.4283 | 5.0 | 383040 | 0.6732 | 0.8277 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2