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TanAlexanderlz
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RALL_RGBCROP_5e6-poly_test_eval

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TanAlexanderlz commited on
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Files changed (6) hide show
  1. README.md +10 -7
  2. all_results.json +8 -8
  3. runs/Jun09_02-33-06_217fe6ac89d5/events.out.tfevents.1749436507.217fe6ac89d5.319.3 +2 -2
  4. runs/Jun09_02-33-06_217fe6ac89d5/events.out.tfevents.1749436941.217fe6ac89d5.319.4 +3 -0
  5. test_results.json +8 -8
  6. trainer_state.json +16 -16
README.md CHANGED
@@ -17,14 +17,17 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial](https://huggingface.co/TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.5478
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- - eval_model_preparation_time: 0.0029
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  - eval_accuracy: 0.8635
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- - eval_precision: 0.8640
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- - eval_recall: 0.8635
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- - eval_f1: 0.8634
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- - eval_runtime: 111.697
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- - eval_samples_per_second: 4.458
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- - eval_steps_per_second: 0.564
 
 
 
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  - step: 0
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  ## Model description
 
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  This model is a fine-tuned version of [TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial](https://huggingface.co/TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.5478
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+ - eval_model_preparation_time: 0.0065
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  - eval_accuracy: 0.8635
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+ - eval_precision: 0.8494
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+ - eval_recall: 0.8835
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+ - eval_f1: 0.8661
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+ - eval_auc_roc: 0.9269
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+ - eval_specificity: 0.8434
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+ - eval_sensitivity: 0.8835
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+ - eval_runtime: 111.893
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+ - eval_samples_per_second: 4.451
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+ - eval_steps_per_second: 0.563
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  - step: 0
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  ## Model description
all_results.json CHANGED
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