pbrennanwhite commited on
Commit
4994dae
1 Parent(s): 0036697

Training in progress epoch 0

Browse files
README.md CHANGED
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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 [pbrennanwhite/layoutlm-funsd-tf](https://huggingface.co/pbrennanwhite/layoutlm-funsd-tf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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-
 
 
 
 
 
 
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  ## Model description
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@@ -32,11 +38,14 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: None
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  - training_precision: mixed_float16
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  ### Training results
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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: 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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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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  - training_precision: mixed_float16
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  ### Training results
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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
config.json CHANGED
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  {
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- "_name_or_path": "pbrennanwhite/layoutlm-funsd-tf",
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  "architectures": [
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  "LayoutLMForTokenClassification"
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  ],
 
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  {
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+ "_name_or_path": "microsoft/layoutlm-base-uncased",
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  "architectures": [
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  "LayoutLMForTokenClassification"
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  ],
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