metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Paper_compared-beit-base
results: []
Paper_compared-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: 0.5363
- Accuracy: 0.8409
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6803 | 0.9492 | 14 | 0.9171 | 0.7156 |
| 0.8219 | 1.9661 | 29 | 0.5230 | 0.8330 |
| 0.2323 | 2.9831 | 44 | 0.5110 | 0.8047 |
| 0.1112 | 4.0 | 59 | 0.4968 | 0.8138 |
| 0.0387 | 4.9492 | 73 | 0.5502 | 0.8093 |
| 0.0232 | 5.9661 | 88 | 0.5506 | 0.8296 |
| 0.0096 | 6.9831 | 103 | 0.5341 | 0.8431 |
| 0.0068 | 8.0 | 118 | 0.6003 | 0.8149 |
| 0.0046 | 8.9492 | 132 | 0.5298 | 0.8409 |
| 0.0051 | 9.4915 | 140 | 0.5363 | 0.8409 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1