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layoutlm-funsd-tf

Token Classification
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TensorFlow
TensorBoard
layoutlm
generated_from_keras_callback
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Training in progress epoch 6

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Files changed (4) hide show
  1. README.md +7 -6
  2. logs/train/events.out.tfevents.1708193273.a36882b8c31e.167.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1708194253.a36882b8c31e.167.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ 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: 0.7747
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- - Validation Loss: 1.1882
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- - Train Overall Precision: 0.4507
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  - Train Overall Recall: 0.5625
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- - Train Overall F1: 0.5004
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- - Train Overall Accuracy: 0.6062
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- - Epoch: 5
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  ## Model description
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@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
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  | 1.0088 | 1.1098 | 0.3871 | 0.5198 | 0.4438 | 0.5737 | 3 |
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  | 0.8868 | 1.0295 | 0.4061 | 0.5569 | 0.4697 | 0.6159 | 4 |
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  | 0.7747 | 1.1882 | 0.4507 | 0.5625 | 0.5004 | 0.6062 | 5 |
 
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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: 0.6577
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+ - Validation Loss: 1.0658
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+ - Train Overall Precision: 0.4760
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  - Train Overall Recall: 0.5625
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+ - Train Overall F1: 0.5156
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+ - Train Overall Accuracy: 0.6305
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+ - Epoch: 6
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  ## Model description
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  | 1.0088 | 1.1098 | 0.3871 | 0.5198 | 0.4438 | 0.5737 | 3 |
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  | 0.8868 | 1.0295 | 0.4061 | 0.5569 | 0.4697 | 0.6159 | 4 |
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  | 0.7747 | 1.1882 | 0.4507 | 0.5625 | 0.5004 | 0.6062 | 5 |
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+ | 0.6577 | 1.0658 | 0.4760 | 0.5625 | 0.5156 | 0.6305 | 6 |
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  ### Framework versions
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