Commit
•
5fe4811
1
Parent(s):
0736fe0
End of training
Browse files- README.md +3 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jun12_10-54-32_DESKTOP-SKBE9FB/events.out.tfevents.1718212148.DESKTOP-SKBE9FB.8968.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +984 -0
README.md
CHANGED
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@@ -22,7 +22,7 @@ model-index:
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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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@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.7391304347826086
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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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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7882
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- Accuracy: 0.7391
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## Model description
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all_results.json
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{
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"epoch": 73.85,
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+
"eval_accuracy": 0.7391304347826086,
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+
"eval_loss": 0.7882330417633057,
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+
"eval_runtime": 0.9712,
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+
"eval_samples_per_second": 47.364,
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+
"eval_steps_per_second": 2.059,
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+
"train_loss": 0.36262454763054847,
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+
"train_runtime": 818.339,
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+
"train_samples_per_second": 80.065,
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+
"train_steps_per_second": 0.587
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}
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eval_results.json
ADDED
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{
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"epoch": 73.85,
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+
"eval_accuracy": 0.7391304347826086,
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+
"eval_loss": 0.7882330417633057,
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+
"eval_runtime": 0.9712,
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+
"eval_samples_per_second": 47.364,
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+
"eval_steps_per_second": 2.059
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+
}
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runs/Jun12_10-54-32_DESKTOP-SKBE9FB/events.out.tfevents.1718212148.DESKTOP-SKBE9FB.8968.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2c5e6189ba46372b239fd1d6bfea75e59010b138970987e4bce60b04e73c7d03
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+
size 411
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train_results.json
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{
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"epoch": 73.85,
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"train_loss": 0.36262454763054847,
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+
"train_runtime": 818.339,
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+
"train_samples_per_second": 80.065,
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"train_steps_per_second": 0.587
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}
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trainer_state.json
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