metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: S5_M1_fold4_BEiT_42621847
results: []
S5_M1_fold4_BEiT_42621847
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0018
- Accuracy: 0.9992
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 |
|---|---|---|---|---|
| 0.007 | 1.0 | 368 | 0.0027 | 1.0 |
| 0.0132 | 2.0 | 737 | 0.0019 | 1.0 |
| 0.0255 | 3.0 | 1105 | 0.0053 | 0.9976 |
| 0.0001 | 4.0 | 1474 | 0.0060 | 0.9976 |
| 0.0001 | 4.99 | 1840 | 0.0018 | 0.9992 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3