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End of training

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README.md CHANGED
@@ -20,10 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0863
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- - F1: 0.9928
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- - Recall: 0.9868
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- - Precision: 0.9990
 
 
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  ## Model description
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@@ -48,7 +50,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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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: linear
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.4410
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+ - F1: 0.4615
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+ - Recall: 0.3
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+ - Precision: 1.0
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+ - Pred Counts: {np.int64(5): 10}
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+ - Actual Counts: {np.int64(5): 3, np.int64(6): 1, np.int64(3): 2, np.int64(18): 1, np.int64(0): 1, np.int64(15): 1, np.int64(25): 1}
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  ## Model description
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  - seed: 42
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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: linear
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+ - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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