dungeon-geo-morphs
Browse files- README.md +3 -2
- all_results.json +9 -4
- eval_results.json +8 -0
- runs/Nov12_15-56-26_5ee1c52bb489/events.out.tfevents.1731427332.5ee1c52bb489.1573.3 +3 -0
- train_results.json +4 -4
- trainer_state.json +12 -12
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-001
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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: 0.3882
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- Accuracy: 0.9667
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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-001
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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: 0.3882
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- Accuracy: 0.9667
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all_results.json
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{
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"epoch": 10.0,
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{
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"epoch": 10.0,
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"total_flos": 1.2874949963753472e+17,
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"train_loss": 0.7187447706858318,
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"train_samples_per_second": 4.647,
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"train_steps_per_second": 0.099
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}
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eval_results.json
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{
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"eval_samples_per_second": 59.222,
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"eval_steps_per_second": 7.896
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}
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runs/Nov12_15-56-26_5ee1c52bb489/events.out.tfevents.1731427332.5ee1c52bb489.1573.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbbd072ca66c1f855c8f340ee78b49f636c88dc8cd0bcda9bfba4e0fe7212723
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size 405
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train_results.json
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"train_loss": 0.
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trainer_state.json
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{
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"logging_steps": 10,
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