cor-c
/

layoutlm-funsd-tf-l

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

cor-c commited on Jun 27, 2024

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1f36f9b

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1 Parent(s): 4c93c31

Training in progress epoch 6

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README.md +13 -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: 1.6855
-- Validation Loss: 1.4048
-- Train Overall Precision: 0.2655
-- Train Overall Recall: 0.2945
-- Train Overall F1: 0.2793
-- Train Overall Accuracy: 0.5163
-- Epoch: 0
 ## Model description
@@ -48,6 +48,12 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.6855     | 1.4048          | 0.2655                  | 0.2945               | 0.2793           | 0.5163                 | 0     |
 ### 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: 0.3123
+- Validation Loss: 0.6608
+- Train Overall Precision: 0.7443
+- Train Overall Recall: 0.7958
+- Train Overall F1: 0.7692
+- Train Overall Accuracy: 0.8154
+- Epoch: 6
 ## Model description
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.6855     | 1.4048          | 0.2655                  | 0.2945               | 0.2793           | 0.5163                 | 0     |
+| 1.1539     | 0.8468          | 0.6205                  | 0.6548               | 0.6372           | 0.7410                 | 1     |
+| 0.7523     | 0.7215          | 0.6573                  | 0.7516               | 0.7013           | 0.7662                 | 2     |
+| 0.5749     | 0.6737          | 0.6735                  | 0.7536               | 0.7113           | 0.7868                 | 3     |
+| 0.4482     | 0.6720          | 0.7027                  | 0.7792               | 0.7390           | 0.7917                 | 4     |
+| 0.3695     | 0.6387          | 0.7142                  | 0.7948               | 0.7523           | 0.8047                 | 5     |
+| 0.3123     | 0.6608          | 0.7443                  | 0.7958               | 0.7692           | 0.8154                 | 6     |
 ### Framework versions

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