resnet-50-finetuned-galaxy10-decals

This model is a fine-tuned version of microsoft/resnet-50 on the matthieulel/galaxy10_decals dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5789
  • Accuracy: 0.4138
  • Precision: 0.4493
  • Recall: 0.4138
  • F1: 0.3134

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: 2e-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
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
2.2417 0.9940 124 2.2265 0.2373 0.0697 0.2373 0.1077
2.1616 1.9960 249 2.1268 0.1950 0.1132 0.1950 0.0889
2.0459 2.9980 374 1.9901 0.2401 0.1029 0.2401 0.1290
1.9203 4.0 499 1.8571 0.3303 0.3116 0.3303 0.2052
1.8347 4.9940 623 1.7692 0.3613 0.2694 0.3613 0.2457
1.7628 5.9960 748 1.6926 0.3850 0.4172 0.3850 0.2758
1.723 6.9980 873 1.6342 0.3985 0.4428 0.3985 0.2922
1.71 8.0 998 1.6071 0.4104 0.4369 0.4104 0.3122
1.6948 8.9940 1122 1.5789 0.4138 0.4493 0.4138 0.3134
1.656 9.9399 1240 1.5805 0.4053 0.4176 0.4053 0.3034

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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