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xilpam
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t_2_layoutlm-funsd-tf

Token Classification
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layoutlm
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xilpam commited on
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1 Parent(s): ae3dd12

Training in progress epoch 1

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Files changed (4) hide show
  1. README.md +4 -3
  2. logs/train/events.out.tfevents.1711229885.2de4dfa038b1.1147.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1711230213.2de4dfa038b1.1147.1.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: 0.0597
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- - Validation Loss: 0.0009
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  - Train Overall Precision: 1.0
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  - Train Overall Recall: 1.0
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  - Train Overall F1: 1.0
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  - Train Overall Accuracy: 1.0
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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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  | 0.0597 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 | 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: 0.0014
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+ - Validation Loss: 0.0005
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  - Train Overall Precision: 1.0
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  - Train Overall Recall: 1.0
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  - Train Overall F1: 1.0
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  - Train Overall Accuracy: 1.0
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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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  | 0.0597 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 | 0 |
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+ | 0.0014 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | 1 |
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  ### Framework versions
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