metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 0.50-500Train-100Test-beit-base
results: []
0.50-500Train-100Test-beit-base
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7300
- Accuracy: 0.8262
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4603 | 0.9973 | 92 | 0.6572 | 0.7782 |
| 0.223 | 1.9946 | 184 | 0.6184 | 0.7956 |
| 0.0749 | 2.9919 | 276 | 0.6076 | 0.8262 |
| 0.0218 | 4.0 | 369 | 0.7377 | 0.8140 |
| 0.0082 | 4.9973 | 461 | 0.7851 | 0.8061 |
| 0.0023 | 5.9946 | 553 | 0.7284 | 0.8227 |
| 0.0037 | 6.9810 | 644 | 0.7300 | 0.8262 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1