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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-large-patch16-224-in21k |
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tags: |
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- image-classification |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: vit-large-patch16-224-in21k-dungeon-geo-morphs-0-4-30Nov24-002 |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: dungeon-geo-morphs |
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type: imagefolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9660714285714286 |
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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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# vit-large-patch16-224-in21k-dungeon-geo-morphs-0-4-30Nov24-002 |
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This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the dungeon-geo-morphs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2581 |
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- Accuracy: 0.9661 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 40 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 1.517 | 3.9091 | 10 | 1.3386 | 0.6768 | |
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| 0.8959 | 7.9091 | 20 | 0.8879 | 0.9089 | |
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| 0.4053 | 11.9091 | 30 | 0.5939 | 0.9375 | |
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| 0.173 | 15.9091 | 40 | 0.4381 | 0.95 | |
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| 0.0766 | 19.9091 | 50 | 0.3394 | 0.9589 | |
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| 0.0395 | 23.9091 | 60 | 0.2854 | 0.9643 | |
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| 0.0243 | 27.9091 | 70 | 0.2581 | 0.9661 | |
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| 0.0186 | 31.9091 | 80 | 0.2486 | 0.9661 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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