dungeon-geo-morphs
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Nov19_17-49-57_79b7638bc24c/events.out.tfevents.1732039016.79b7638bc24c.963.8 +3 -0
- train_results.json +8 -0
- trainer_state.json +154 -0
README.md
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@@ -3,6 +3,7 @@ library_name: transformers
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license: apache-2.0
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base_model: google/vit-large-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: validation
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@@ -31,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-large-patch16-224-new-dungeon-geo-morphs-025
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This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.9434
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## Model description
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license: apache-2.0
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base_model: google/vit-large-patch16-224
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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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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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# vit-large-patch16-224-new-dungeon-geo-morphs-025
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This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5643
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- Accuracy: 0.9434
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## Model description
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all_results.json
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eval_results.json
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runs/Nov19_17-49-57_79b7638bc24c/events.out.tfevents.1732039016.79b7638bc24c.963.8
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train_results.json
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trainer_state.json
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