stevethecur commited on
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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: stevethecur/layoutlm-funsd-tf
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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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- # stevethecur/layoutlm-funsd-tf
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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: 1.6536
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- - Validation Loss: 1.4851
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- - Train Overall Precision: 0.1737
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- - Train Overall Recall: 0.3176
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- - Train Overall F1: 0.2245
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- - Train Overall Accuracy: 0.4025
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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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  | 1.6536 | 1.4851 | 0.1737 | 0.3176 | 0.2245 | 0.4025 | 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-funsd-tf
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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-funsd-tf
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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: 0.5937
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+ - Validation Loss: 1.1902
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+ - Train Overall Precision: 0.4751
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+ - Train Overall Recall: 0.5850
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+ - Train Overall F1: 0.5244
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+ - Train Overall Accuracy: 0.6201
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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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  | 1.6536 | 1.4851 | 0.1737 | 0.3176 | 0.2245 | 0.4025 | 0 |
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+ | 1.3258 | 1.2951 | 0.2957 | 0.4325 | 0.3513 | 0.4737 | 1 |
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+ | 1.1768 | 1.1266 | 0.3614 | 0.4892 | 0.4157 | 0.5489 | 2 |
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+ | 1.0113 | 1.0274 | 0.3889 | 0.5294 | 0.4484 | 0.6040 | 3 |
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+ | 0.9157 | 1.0104 | 0.4428 | 0.5414 | 0.4871 | 0.6152 | 4 |
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+ | 0.7484 | 1.0807 | 0.4742 | 0.5354 | 0.5029 | 0.6153 | 5 |
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+ | 0.6791 | 1.2077 | 0.4709 | 0.5434 | 0.5045 | 0.6049 | 6 |
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+ | 0.5937 | 1.1902 | 0.4751 | 0.5850 | 0.5244 | 0.6201 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 450829256
 
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