metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-224-pt22k-ft22k-finetuning
results: []
beit-base-patch16-224-pt22k-ft22k-finetuning
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: 0.2268
- Accuracy: 0.921
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3814 | 0.9979 | 351 | 0.3500 | 0.8838 |
| 0.3251 | 1.9986 | 703 | 0.2797 | 0.9042 |
| 0.2368 | 2.9936 | 1053 | 0.2436 | 0.9168 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1