weather-base / README.md
ChasingMercer's picture
update model card README.md
e9efa32
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: weather-base
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: dataset
          split: train
          args: dataset
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9358600583090378

weather-base

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2184
  • Accuracy: 0.9359

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3368 1.0 171 0.2780 0.9009
0.2129 2.0 342 0.2333 0.9300
0.1827 3.0 513 0.2440 0.9213
0.1475 4.0 684 0.2306 0.9315
0.1284 5.0 855 0.2192 0.9359
0.0526 6.0 1026 0.2184 0.9359

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2