Commit
•
9d8340a
1
Parent(s):
dc02205
End of training
Browse files- README.md +3 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May06_06-05-32_nuf91uywng/events.out.tfevents.1714982947.nuf91uywng.64.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1946 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window8-256
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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# swinv2-tiny-patch4-window8-256-finetuned-galaxy10-decals
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-
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4357
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- Accuracy: 0.8585
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window8-256
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tags:
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+
- image-classification
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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# swinv2-tiny-patch4-window8-256-finetuned-galaxy10-decals
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+
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the matthieulel/galaxy10_decals dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4357
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- Accuracy: 0.8585
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all_results.json
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{
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"epoch": 19.879759519038075,
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"eval_accuracy": 0.8585118376550169,
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"eval_loss": 0.4356611371040344,
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"eval_runtime": 20.0082,
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"eval_samples_per_second": 88.664,
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"eval_steps_per_second": 2.799,
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"total_flos": 1.0326291224762253e+19,
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+
"train_loss": 0.6660777115052746,
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+
"train_runtime": 7387.7979,
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"train_samples_per_second": 43.212,
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"train_steps_per_second": 0.336
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}
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eval_results.json
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{
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"epoch": 19.879759519038075,
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+
"eval_accuracy": 0.8585118376550169,
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+
"eval_loss": 0.4356611371040344,
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"eval_runtime": 20.0082,
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"eval_samples_per_second": 88.664,
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"eval_steps_per_second": 2.799
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}
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runs/May06_06-05-32_nuf91uywng/events.out.tfevents.1714982947.nuf91uywng.64.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:916d25069c980ed758e588d558e9369375fcdec91b1d8192db9ceb910ff3ea0f
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+
size 363
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train_results.json
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{
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"epoch": 19.879759519038075,
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"total_flos": 1.0326291224762253e+19,
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+
"train_loss": 0.6660777115052746,
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+
"train_runtime": 7387.7979,
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"train_samples_per_second": 43.212,
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"train_steps_per_second": 0.336
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}
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trainer_state.json
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