Edit model card

fine-tuned-model

This model is a fine-tuned version of microsoft/beit-base-patch16-224 on the beans dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0876
  • Accuracy: 0.4038

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
No log 0.93 7 1.0632 0.5096
1.1621 1.93 14 1.0925 0.3654
1.1481 2.93 21 1.0876 0.4038

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.11.0+cu102
  • Datasets 2.5.2.dev0
  • Tokenizers 0.12.1
Downloads last month
3
Hosted inference API
Drag image file here or click to browse from your device
This model can be loaded on the Inference API on-demand.

Dataset used to train jbrinkma/fine-tuned-model

Evaluation results