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Shridharam
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layoutlm-funsd-tf

Token Classification
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layoutlm
generated_from_keras_callback
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Shridharam commited on
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1 Parent(s): 671a249

Training in progress epoch 1

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Files changed (4) hide show
  1. README.md +8 -7
  2. logs/train/events.out.tfevents.1712249047.a94075aa2d3a.285.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1712250244.a94075aa2d3a.285.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ 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: 1.7446
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- - Validation Loss: 1.5046
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- - Train Overall Precision: 0.1515
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- - Train Overall Recall: 0.1912
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- - Train Overall F1: 0.1690
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- - Train Overall Accuracy: 0.3736
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- - Epoch: 0
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  ## Model description
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@@ -48,6 +48,7 @@ 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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  | 1.7446 | 1.5046 | 0.1515 | 0.1912 | 0.1690 | 0.3736 | 0 |
 
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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: 1.4357
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+ - Validation Loss: 1.3277
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+ - Train Overall Precision: 0.2590
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+ - Train Overall Recall: 0.4295
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+ - Train Overall F1: 0.3231
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+ - Train Overall Accuracy: 0.4314
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+ - Epoch: 1
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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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  | 1.7446 | 1.5046 | 0.1515 | 0.1912 | 0.1690 | 0.3736 | 0 |
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+ | 1.4357 | 1.3277 | 0.2590 | 0.4295 | 0.3231 | 0.4314 | 1 |
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  ### Framework versions
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