dungeon-geo-morphs
Browse files- README.md +3 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Nov13_17-15-10_de5729e0f5b3/events.out.tfevents.1731518443.de5729e0f5b3.318.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +99 -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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@@ -31,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-large-patch16-224-dungeon-geo-morphs-008
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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: 0.0781
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- Accuracy: 0.9722
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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-dungeon-geo-morphs-008
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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: 0.0781
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- Accuracy: 0.9722
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all_results.json
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eval_results.json
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{
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runs/Nov13_17-15-10_de5729e0f5b3/events.out.tfevents.1731518443.de5729e0f5b3.318.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d76b2c821d0f461490317247a5fe015672c1747ed1f137539aa34e1a264bdb5
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size 405
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train_results.json
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trainer_state.json
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{
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