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metadata
license: apache-2.0
base_model: google/vit-base-patch16-384
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: test-2-geoguessr-55
    results: []

test-2-geoguessr-55

This model is a fine-tuned version of google/vit-base-patch16-384 on marcelomoreno26/geoguessr dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4296
  • Accuracy: 0.3881
  • F1: 0.1440

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 394 3.3218 0.1603 0.0292
3.5132 2.0 788 3.1195 0.2243 0.0494
3.1361 3.0 1182 2.9820 0.2587 0.0657
2.9576 4.0 1576 2.8774 0.2906 0.0816
2.9576 5.0 1970 2.7940 0.3125 0.0950
2.8298 6.0 2364 2.7271 0.3250 0.1042
2.7378 7.0 2758 2.6721 0.3366 0.1112
2.6526 8.0 3152 2.6268 0.3466 0.1156
2.5971 9.0 3546 2.5882 0.3546 0.1220
2.5971 10.0 3940 2.5558 0.3630 0.1269
2.5468 11.0 4334 2.5286 0.3699 0.1321
2.519 12.0 4728 2.5057 0.3721 0.1337
2.4769 13.0 5122 2.4865 0.3760 0.1359
2.4528 14.0 5516 2.4706 0.3805 0.1387
2.4528 15.0 5910 2.4577 0.3820 0.1391
2.4307 16.0 6304 2.4473 0.3840 0.1410
2.4207 17.0 6698 2.4395 0.3863 0.1428
2.4114 18.0 7092 2.4340 0.3874 0.1437
2.4114 19.0 7486 2.4307 0.3883 0.1440
2.4 20.0 7880 2.4296 0.3881 0.1440

Framework versions

  • Transformers 4.39.1
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.15.2