cor-c
/

layoutlm-cord-tf-colab

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

cor-c commited on Jun 23, 2024

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2175e85

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1 Parent(s): c275879

Training in progress epoch 2

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README.md +8 -7
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4002
-- Validation Loss: 0.2680
-- Train Overall Precision: 0.9113
-- Train Overall Recall: 0.9148
-- Train Overall F1: 0.9130
-- Train Overall Accuracy: 0.9334
-- Epoch: 1
 ## Model description
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.3249     | 0.5218          | 0.8344                  | 0.8318               | 0.8331           | 0.8744                 | 0     |
 | 0.4002     | 0.2680          | 0.9113                  | 0.9148               | 0.9130           | 0.9334                 | 1     |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.2153
+- Validation Loss: 0.2180
+- Train Overall Precision: 0.9062
+- Train Overall Recall: 0.9193
+- Train Overall F1: 0.9127
+- Train Overall Accuracy: 0.9448
+- Epoch: 2
 ## Model description
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.3249     | 0.5218          | 0.8344                  | 0.8318               | 0.8331           | 0.8744                 | 0     |
 | 0.4002     | 0.2680          | 0.9113                  | 0.9148               | 0.9130           | 0.9334                 | 1     |
+| 0.2153     | 0.2180          | 0.9062                  | 0.9193               | 0.9127           | 0.9448                 | 2     |
 ### Framework versions

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