TanAlexanderlz commited on
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README.md CHANGED
@@ -16,12 +16,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly](https://huggingface.co/TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5726
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- - eval_model_preparation_time: 0.0028
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- - eval_accuracy: 0.5556
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- - eval_runtime: 42.0944
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- - eval_samples_per_second: 0.855
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- - eval_steps_per_second: 0.119
 
 
 
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  - step: 0
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  ## Model description
@@ -48,7 +51,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: polynomial
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 345
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  ### Framework versions
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  This model is a fine-tuned version of [TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly](https://huggingface.co/TanAlexanderlz/BxSD_RGBCROP_Aug16F-8B16F5e6-poly) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.4062
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+ - eval_model_preparation_time: 0.0029
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+ - eval_accuracy: 0.7912
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+ - eval_precision: 0.7924
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+ - eval_recall: 0.7912
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+ - eval_f1: 0.7909
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+ - eval_runtime: 114.1708
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+ - eval_samples_per_second: 4.362
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+ - eval_steps_per_second: 0.552
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  - step: 0
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  ## Model description
 
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: polynomial
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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 4320
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  ### Framework versions
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