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SPIE_MULTICLASS_FACEBOOK_1_2

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metadata
library_name: transformers
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: SPIE_MULTICLASS_FACEBOOK_1_2
    results: []

SPIE_MULTICLASS_FACEBOOK_1_2

This model is a fine-tuned version of facebook/deit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0721
  • Accuracy: 0.9783

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: 2
  • 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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2206 0.9886 65 0.1739 0.9308
0.1149 1.9924 131 0.1008 0.965
0.102 2.9962 197 0.0969 0.9633
0.0679 4.0 263 0.0738 0.9742
0.0662 4.9430 325 0.0721 0.9783

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0