metadata

license: apache-2.0
base_model: microsoft/beit-large-patch16-224-pt22k-ft22k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Train-Test-Augmentation-V6-beit-large
    results: []

Train-Test-Augmentation-V6-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: 0.6235
Accuracy: 0.8521

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
0.0299	1.0	57	0.8461	0.7798
0.0202	2.0	114	0.7776	0.8137
0.0148	3.0	171	0.7231	0.8120
0.004	4.0	228	0.6273	0.8481
0.0004	5.0	285	0.6235	0.8521

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1