Hugging Face's logo

Circularmachines
/
MAE

Transformers
PyTorch
TensorBoard
vit_mae
pretraining
masked-auto-encoding
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
MAE / README.md
Circularmachines's picture
Circularmachines
update model card README.md
5926c2e
preview code
|
raw
history blame
1.35 kB
metadata
license: apache-2.0
tags:
  - masked-auto-encoding
  - generated_from_trainer
model-index:
  - name: MAE
    results: []

MAE

This model is a fine-tuned version of facebook/vit-mae-base on the Circularmachines/batch_indexing_machine_224x224_images dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2478

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: 4.6875e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss
0.2611 1.0 7705 0.2473

Framework versions

  • Transformers 4.29.0.dev0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3