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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-384 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: test-2-geoguessr-55 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# test-2-geoguessr-55 |
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on [marcelomoreno26/geoguessr](https://huggingface.co/datasets/marcelomoreno26/geoguessr) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4296 |
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- Accuracy: 0.3881 |
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- F1: 0.1440 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 394 | 3.3218 | 0.1603 | 0.0292 | |
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| 3.5132 | 2.0 | 788 | 3.1195 | 0.2243 | 0.0494 | |
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| 3.1361 | 3.0 | 1182 | 2.9820 | 0.2587 | 0.0657 | |
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| 2.9576 | 4.0 | 1576 | 2.8774 | 0.2906 | 0.0816 | |
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| 2.9576 | 5.0 | 1970 | 2.7940 | 0.3125 | 0.0950 | |
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| 2.8298 | 6.0 | 2364 | 2.7271 | 0.3250 | 0.1042 | |
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| 2.7378 | 7.0 | 2758 | 2.6721 | 0.3366 | 0.1112 | |
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| 2.6526 | 8.0 | 3152 | 2.6268 | 0.3466 | 0.1156 | |
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| 2.5971 | 9.0 | 3546 | 2.5882 | 0.3546 | 0.1220 | |
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| 2.5971 | 10.0 | 3940 | 2.5558 | 0.3630 | 0.1269 | |
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| 2.5468 | 11.0 | 4334 | 2.5286 | 0.3699 | 0.1321 | |
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| 2.519 | 12.0 | 4728 | 2.5057 | 0.3721 | 0.1337 | |
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| 2.4769 | 13.0 | 5122 | 2.4865 | 0.3760 | 0.1359 | |
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| 2.4528 | 14.0 | 5516 | 2.4706 | 0.3805 | 0.1387 | |
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| 2.4528 | 15.0 | 5910 | 2.4577 | 0.3820 | 0.1391 | |
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| 2.4307 | 16.0 | 6304 | 2.4473 | 0.3840 | 0.1410 | |
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| 2.4207 | 17.0 | 6698 | 2.4395 | 0.3863 | 0.1428 | |
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| 2.4114 | 18.0 | 7092 | 2.4340 | 0.3874 | 0.1437 | |
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| 2.4114 | 19.0 | 7486 | 2.4307 | 0.3883 | 0.1440 | |
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| 2.4 | 20.0 | 7880 | 2.4296 | 0.3881 | 0.1440 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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