Commit
•
5c75957
1
Parent(s):
3c91b52
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May20_19-46-34_b94dbfcd7693/events.out.tfevents.1716235649.b94dbfcd7693.1289.30 +3 -0
- train_results.json +8 -0
- trainer_state.json +1079 -0
README.md
CHANGED
@@ -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/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) 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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## Model description
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.9772727272727273
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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/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.1430
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+
- Accuracy: 0.9773
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## Model description
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all_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.9772727272727273,
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+
"eval_loss": 0.14295423030853271,
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"eval_runtime": 0.7189,
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"eval_samples_per_second": 61.203,
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"eval_steps_per_second": 2.782,
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"total_flos": 1.8822505078960128e+18,
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"train_loss": 0.21107831209897995,
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+
"train_runtime": 1239.3905,
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"train_samples_per_second": 19.606,
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"train_steps_per_second": 0.161
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}
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eval_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.9772727272727273,
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+
"eval_loss": 0.14295423030853271,
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+
"eval_runtime": 0.7189,
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"eval_samples_per_second": 61.203,
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"eval_steps_per_second": 2.782
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}
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runs/May20_19-46-34_b94dbfcd7693/events.out.tfevents.1716235649.b94dbfcd7693.1289.30
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb913ba71e799c933ee4b9995b8cd09eebcca8c824b10fd8de25f690e02477b9
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size 411
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train_results.json
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{
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"epoch": 100.0,
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"total_flos": 1.8822505078960128e+18,
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"train_loss": 0.21107831209897995,
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+
"train_runtime": 1239.3905,
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+
"train_samples_per_second": 19.606,
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"train_steps_per_second": 0.161
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}
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trainer_state.json
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