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Upload TFLayoutLMForTokenClassification

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  1. README.md +16 -9
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: cor-c/layoutlm-invoice-tf-2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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- # cor-c/layoutlm-invoice-tf-2
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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: 2.3655
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- - Validation Loss: 2.0025
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- - Train Overall Precision: 0.0056
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- - Train Overall Recall: 0.0101
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- - Train Overall F1: 0.0072
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- - Train Overall Accuracy: 0.3973
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- - Epoch: 0
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  ## Model description
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@@ -48,6 +48,13 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 2.3655 | 2.0025 | 0.0056 | 0.0101 | 0.0072 | 0.3973 | 0 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: layoutlm-invoice-tf-2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # layoutlm-invoice-tf-2
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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: 0.3115
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+ - Validation Loss: 0.3451
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+ - Train Overall Precision: 0.5831
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+ - Train Overall Recall: 0.5567
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+ - Train Overall F1: 0.5696
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+ - Train Overall Accuracy: 0.8995
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+ - Epoch: 7
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  ## Model description
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  | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
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  |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
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  | 2.3655 | 2.0025 | 0.0056 | 0.0101 | 0.0072 | 0.3973 | 0 |
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+ | 1.7668 | 1.5306 | 0.0185 | 0.0327 | 0.0237 | 0.5455 | 1 |
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+ | 1.3422 | 1.1230 | 0.0595 | 0.0831 | 0.0693 | 0.6698 | 2 |
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+ | 1.0006 | 0.9051 | 0.1393 | 0.1990 | 0.1639 | 0.7432 | 3 |
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+ | 0.7743 | 0.6738 | 0.2127 | 0.2620 | 0.2348 | 0.8158 | 4 |
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+ | 0.5996 | 0.5262 | 0.4035 | 0.4106 | 0.4070 | 0.8628 | 5 |
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+ | 0.4179 | 0.3998 | 0.4856 | 0.4685 | 0.4769 | 0.8892 | 6 |
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+ | 0.3115 | 0.3451 | 0.5831 | 0.5567 | 0.5696 | 0.8995 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 450850760
 
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  size 450850760