metadata
license: apache-2.0
base_model: microsoft/beit-large-patch16-224-pt22k-ft22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 0.50-500Train-100Test-beit-large
results: []
0.50-500Train-100Test-beit-large
This model is a fine-tuned version of microsoft/beit-large-patch16-224-pt22k-ft22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7076
- Accuracy: 0.8515
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.2287 | 0.9973 | 92 | 0.6058 | 0.8157 |
0.1191 | 1.9946 | 184 | 0.7659 | 0.8070 |
0.0311 | 2.9919 | 276 | 0.6945 | 0.8271 |
0.0076 | 4.0 | 369 | 0.7174 | 0.8437 |
0.0012 | 4.9864 | 460 | 0.7076 | 0.8515 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1