dungeon-geo-morphs
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README.md
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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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- 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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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# vit-large-patch16-224-in21k-dungeon-geo-morphs-0-4-30Nov24-003
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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
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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.
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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-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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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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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9589285714285715
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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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# vit-large-patch16-224-in21k-dungeon-geo-morphs-0-4-30Nov24-003
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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: 0.1374
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- Accuracy: 0.9589
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## Model description
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all_results.json
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{
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"epoch": 31.90909090909091,
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"total_flos": 7.012786101918106e+17,
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"train_loss": 0.2615024119615555,
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"train_runtime": 561.0998,
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{
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"epoch": 31.90909090909091,
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"eval_accuracy": 0.9589285714285715,
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"eval_loss": 0.13735760748386383,
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"eval_runtime": 8.4236,
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"eval_samples_per_second": 66.48,
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"eval_steps_per_second": 8.31,
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"total_flos": 7.012786101918106e+17,
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"train_loss": 0.2615024119615555,
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"train_runtime": 561.0998,
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eval_results.json
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{
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"epoch": 31.90909090909091,
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"eval_accuracy": 0.9589285714285715,
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"eval_loss": 0.13735760748386383,
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"eval_runtime": 8.4236,
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"eval_samples_per_second": 66.48,
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"eval_steps_per_second": 8.31
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}
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runs/Dec01_20-14-03_bad41eb67f53/events.out.tfevents.1733085044.bad41eb67f53.871.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:66fd69a16437bddd54107cf8c3abd6b140f172ab89cfdad628a5f80157b326ec
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size 405
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