Upload TFLayoutLMForTokenClassification

README.md

@@ -14,13 +14,7 @@ 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: 0.2579
-- Validation Loss: 0.6970
-- Train Overall Precision: 0.7286
-- Train Overall Recall: 0.8003
-- Train Overall F1: 0.7628
-- Train Overall Accuracy: 0.8045
-- Epoch: 7
+
 
 ## Model description
 
@@ -39,21 +33,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- 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}
+- optimizer: None
 - training_precision: mixed_float16
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
-|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.7062     | 1.4015          | 0.2826                  | 0.3011               | 0.2915           | 0.5146                 | 0     |
-| 1.1524     | 0.8928          | 0.5942                  | 0.6598               | 0.6253           | 0.7216                 | 1     |
-| 0.8106     | 0.7383          | 0.6540                  | 0.7190               | 0.6850           | 0.7634                 | 2     |
-| 0.5949     | 0.7057          | 0.6936                  | 0.7441               | 0.7180           | 0.7715                 | 3     |
-| 0.4676     | 0.6148          | 0.7246                  | 0.7842               | 0.7533           | 0.8096                 | 4     |
-| 0.3782     | 0.6263          | 0.7230                  | 0.8028               | 0.7608           | 0.8140                 | 5     |
-| 0.3083     | 0.6780          | 0.7175                  | 0.7978               | 0.7555           | 0.8010                 | 6     |
-| 0.2579     | 0.6970          | 0.7286                  | 0.8003               | 0.7628           | 0.8045                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7adf29140e8698f612dd9376d77cb90584910b014bf87f53538615e35258e5eb
 size 450829256