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stevethecur
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layoutlm-funsd-tf

Token Classification
Transformers
TensorFlow
TensorBoard
layoutlm
generated_from_keras_callback
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stevethecur commited on
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516e76f
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1 Parent(s): 1f65d78

Training in progress epoch 6

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Files changed (4) hide show
  1. README.md +9 -7
  2. logs/train/events.out.tfevents.1695069596.AWESOM-O.44708.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1695069765.AWESOM-O.44708.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ 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: 0.4399
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- - Validation Loss: 0.6261
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- - Train Overall Precision: 0.7078
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- - Train Overall Recall: 0.7863
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- - Train Overall F1: 0.7449
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- - Train Overall Accuracy: 0.8077
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- - Epoch: 4
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  ## Model description
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@@ -51,6 +51,8 @@ The following hyperparameters were used during training:
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  | 0.7602 | 0.7016 | 0.6719 | 0.7511 | 0.7093 | 0.7798 | 2 |
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  | 0.5549 | 0.6367 | 0.6847 | 0.7637 | 0.7220 | 0.7949 | 3 |
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  | 0.4399 | 0.6261 | 0.7078 | 0.7863 | 0.7449 | 0.8077 | 4 |
 
 
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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: 0.2843
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+ - Validation Loss: 0.6247
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+ - Train Overall Precision: 0.7359
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+ - Train Overall Recall: 0.8038
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+ - Train Overall F1: 0.7683
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+ - Train Overall Accuracy: 0.8182
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+ - Epoch: 6
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  ## Model description
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  | 0.7602 | 0.7016 | 0.6719 | 0.7511 | 0.7093 | 0.7798 | 2 |
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  | 0.5549 | 0.6367 | 0.6847 | 0.7637 | 0.7220 | 0.7949 | 3 |
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  | 0.4399 | 0.6261 | 0.7078 | 0.7863 | 0.7449 | 0.8077 | 4 |
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+ | 0.3561 | 0.6431 | 0.7204 | 0.7757 | 0.7470 | 0.8067 | 5 |
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+ | 0.2843 | 0.6247 | 0.7359 | 0.8038 | 0.7683 | 0.8182 | 6 |
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  ### Framework versions
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