Commit
•
66ae150
1
Parent(s):
155c7f9
End of training
Browse files- README.md +5 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +727 -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/beit-large-patch16-384
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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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@@ -15,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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# beit-large-patch16-384-limb-person-crop-8_5e-5_5e-3_0.05
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-
This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on
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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: microsoft/beit-large-patch16-384
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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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# beit-large-patch16-384-limb-person-crop-8_5e-5_5e-3_0.05
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+
This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on the c14kevincardenas/beta_caller_284_person_crop dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7207
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- Accuracy: 0.7645
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## Model description
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all_results.json
ADDED
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7645107794361525,
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"eval_loss": 0.7206696271896362,
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"eval_runtime": 15.0662,
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"eval_samples_per_second": 80.047,
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"eval_steps_per_second": 2.522,
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"total_flos": 5.510586115727032e+19,
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"train_loss": 0.9810563533105583,
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"train_runtime": 1933.3473,
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"train_samples_per_second": 35.327,
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"train_steps_per_second": 1.107
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7645107794361525,
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"eval_loss": 0.7206696271896362,
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"eval_runtime": 15.0662,
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"eval_samples_per_second": 80.047,
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"eval_steps_per_second": 2.522
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}
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 5.510586115727032e+19,
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"train_loss": 0.9810563533105583,
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"train_runtime": 1933.3473,
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"train_samples_per_second": 35.327,
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"train_steps_per_second": 1.107
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}
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trainer_state.json
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