Model save
Browse files
README.md
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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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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
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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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- Auc Overall: 0.
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- Auc Class 0: 0.
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- Auc Class 1: 0.
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- Auc Class 2:
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8819264629725531
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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/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3063
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- Accuracy: 0.8819
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- Auc Overall: 0.9577
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- Auc Class 0: 0.9496
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- Auc Class 1: 0.9589
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- Auc Class 2: 0.9646
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7
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### Training results
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all_results.json
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{
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"epoch":
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"eval_accuracy": 0.6666666666666666,
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"eval_auc_class_0": 0.625,
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"eval_auc_class_1": 0.5,
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"eval_samples_per_second": 8.67,
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"eval_steps_per_second": 1.445,
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"total_flos": 3525591661885440.0,
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"train_accuracy": 0.
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"train_auc_class_0": 0.
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"train_auc_class_1": 0.
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"train_auc_class_2":
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"train_loss": 0.
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}
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"epoch": 6.885245901639344,
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"eval_accuracy": 0.6666666666666666,
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"eval_auc_class_0": 0.625,
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"eval_auc_class_1": 0.5,
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"eval_samples_per_second": 8.67,
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"eval_steps_per_second": 1.445,
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"total_flos": 3525591661885440.0,
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"train_accuracy": 0.8871655680496316,
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"train_auc_class_0": 0.9601424899214485,
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"train_auc_class_1": 0.968345723853034,
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"train_auc_class_2": 0.9621813081120092,
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"train_auc_overall": 0.9635565072954971,
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"train_loss": 0.2833240032196045,
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"train_runtime": 718.0615,
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"train_samples_per_second": 10.775,
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"train_steps_per_second": 0.085
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}
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runs/Sep04_12-03-40_data-science-wbi/events.out.tfevents.1725464007.data-science-wbi
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version https://git-lfs.github.com/spec/v1
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size 152
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train_results.json
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"train_auc_class_0": 0.9601424899214485,
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"train_auc_class_1": 0.968345723853034,
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"train_auc_class_2": 0.9621813081120092,
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"train_auc_overall": 0.9635565072954971,
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"train_loss": 0.2833240032196045,
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"train_runtime": 718.0615,
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"train_samples_per_second": 10.775,
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"train_steps_per_second": 0.085
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