Mehdi01 commited on
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Training in progress epoch 5

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README.md CHANGED
@@ -16,13 +16,13 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0500
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- - Validation Loss: 0.0403
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- - Train Overall Precision: 0.8310
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- - Train Overall Recall: 0.8573
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- - Train Overall F1: 0.8440
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- - Train Overall Accuracy: 0.9891
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- - Epoch: 2
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  ## Model description
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@@ -51,6 +51,9 @@ The following hyperparameters were used during training:
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  | 0.4238 | 0.1257 | 0.7483 | 0.6535 | 0.6977 | 0.9684 | 0 |
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  | 0.0943 | 0.0549 | 0.9101 | 0.7075 | 0.7961 | 0.9863 | 1 |
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  | 0.0500 | 0.0403 | 0.8310 | 0.8573 | 0.8440 | 0.9891 | 2 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0222
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+ - Validation Loss: 0.0296
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+ - Train Overall Precision: 0.9155
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+ - Train Overall Recall: 0.9207
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+ - Train Overall F1: 0.9181
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+ - Train Overall Accuracy: 0.9938
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+ - Epoch: 5
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  ## Model description
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  | 0.4238 | 0.1257 | 0.7483 | 0.6535 | 0.6977 | 0.9684 | 0 |
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  | 0.0943 | 0.0549 | 0.9101 | 0.7075 | 0.7961 | 0.9863 | 1 |
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  | 0.0500 | 0.0403 | 0.8310 | 0.8573 | 0.8440 | 0.9891 | 2 |
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+ | 0.0344 | 0.0344 | 0.8468 | 0.9042 | 0.8746 | 0.9916 | 3 |
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+ | 0.0282 | 0.0346 | 0.8417 | 0.9344 | 0.8856 | 0.9918 | 4 |
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+ | 0.0222 | 0.0296 | 0.9155 | 0.9207 | 0.9181 | 0.9938 | 5 |
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  ### Framework versions
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