jayanta / resnet50-finetuned-memes

huggingface.co
Total runs: 24
24-hour runs: 0
7-day runs: -3
30-day runs: -73
Model's Last Updated: September 17 2022
image-classification

Introduction of resnet50-finetuned-memes

Model Details of resnet50-finetuned-memes

resnet50-finetuned-memes

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0625
  • Accuracy: 0.5742
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: 0.00012
  • 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: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.4795 0.99 40 1.4641 0.4382
1.3455 1.99 80 1.3281 0.4389
1.262 2.99 120 1.2583 0.4583
1.1975 3.99 160 1.1978 0.4876
1.1358 4.99 200 1.1614 0.5139
1.1273 5.99 240 1.1316 0.5379
1.0379 6.99 280 1.1024 0.5464
1.041 7.99 320 1.0927 0.5580
0.9952 8.99 360 1.0790 0.5541
1.0146 9.99 400 1.0625 0.5742
Framework versions
  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of jayanta resnet50-finetuned-memes on huggingface.co

24
Total runs
0
24-hour runs
0
3-day runs
-3
7-day runs
-73
30-day runs

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