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Upload TFLayoutLMForTokenClassification

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  1. README.md +16 -9
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -2,24 +2,24 @@
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: pbrennanwhite/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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- # pbrennanwhite/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: 1.6675
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- - Validation Loss: 1.3532
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- - Train Overall Precision: 0.3327
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- - Train Overall Recall: 0.3477
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- - Train Overall F1: 0.3400
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- - Train Overall Accuracy: 0.5549
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- - Epoch: 0
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  ## Model description
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@@ -46,6 +46,13 @@ 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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  | 1.6675 | 1.3532 | 0.3327 | 0.3477 | 0.3400 | 0.5549 | 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: 0.2445
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+ - Validation Loss: 0.6550
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+ - Train Overall Precision: 0.7272
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+ - Train Overall Recall: 0.7893
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+ - Train Overall F1: 0.7570
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+ - Train Overall Accuracy: 0.8195
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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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  | 1.6675 | 1.3532 | 0.3327 | 0.3477 | 0.3400 | 0.5549 | 0 |
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+ | 1.0883 | 0.8340 | 0.6022 | 0.6713 | 0.6349 | 0.7466 | 1 |
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+ | 0.7296 | 0.6953 | 0.6452 | 0.7501 | 0.6937 | 0.7836 | 2 |
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+ | 0.5398 | 0.6647 | 0.6832 | 0.7672 | 0.7228 | 0.7895 | 3 |
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+ | 0.4379 | 0.6258 | 0.7092 | 0.7697 | 0.7382 | 0.8069 | 4 |
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+ | 0.3622 | 0.6494 | 0.7240 | 0.8003 | 0.7602 | 0.8095 | 5 |
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+ | 0.3033 | 0.6519 | 0.7096 | 0.7983 | 0.7514 | 0.8111 | 6 |
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+ | 0.2445 | 0.6550 | 0.7272 | 0.7893 | 0.7570 | 0.8195 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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