Upload TFLayoutLMForTokenClassification

README.md

@@ -15,12 +15,12 @@ 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: 0.6138
-- Validation Loss: 1.1905
-- Train Overall Precision: 0.5008
-- Train Overall Recall: 0.5921
-- Train Overall F1: 0.5427
-- Train Overall Accuracy: 0.6364
+- Train Loss: 0.5754
+- Validation Loss: 1.0073
+- Train Overall Precision: 0.4858
+- Train Overall Recall: 0.5735
+- Train Overall F1: 0.5260
+- Train Overall Accuracy: 0.6411
 - Epoch: 7
 
 ## Model description
@@ -40,21 +40,21 @@ 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.6558     | 1.4251          | 0.2107                  | 0.3332               | 0.2581           | 0.4092                 | 0     |
-| 1.3215     | 1.2372          | 0.3024                  | 0.4696               | 0.3679           | 0.4742                 | 1     |
-| 1.1454     | 1.2395          | 0.3329                  | 0.4782               | 0.3925           | 0.4779                 | 2     |
-| 1.0421     | 1.1025          | 0.3771                  | 0.5263               | 0.4394           | 0.6005                 | 3     |
-| 0.9349     | 1.1771          | 0.3860                  | 0.5610               | 0.4574           | 0.5416                 | 4     |
-| 0.8505     | 1.0244          | 0.4657                  | 0.5685               | 0.5120           | 0.6265                 | 5     |
-| 0.7170     | 1.1978          | 0.4534                  | 0.5660               | 0.5035           | 0.6193                 | 6     |
-| 0.6138     | 1.1905          | 0.5008                  | 0.5921               | 0.5427           | 0.6364                 | 7     |
+| 1.6595     | 1.4718          | 0.1431                  | 0.2780               | 0.1889           | 0.4016                 | 0     |
+| 1.3342     | 1.2762          | 0.2962                  | 0.4942               | 0.3704           | 0.4644                 | 1     |
+| 1.1464     | 1.1828          | 0.3753                  | 0.5173               | 0.4350           | 0.5034                 | 2     |
+| 1.0198     | 1.0195          | 0.4070                  | 0.5359               | 0.4626           | 0.6167                 | 3     |
+| 0.8729     | 1.0543          | 0.4343                  | 0.5740               | 0.4945           | 0.6018                 | 4     |
+| 0.7979     | 1.2603          | 0.4648                  | 0.5866               | 0.5186           | 0.5615                 | 5     |
+| 0.6799     | 1.0257          | 0.5180                  | 0.5775               | 0.5461           | 0.6408                 | 6     |
+| 0.5754     | 1.0073          | 0.4858                  | 0.5735               | 0.5260           | 0.6411                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff3a0caf292ad846ce9b41c0bcd9c96aa4396f44b2746b385281f055ab0d35a6
+oid sha256:3ca2dafc3dab997aeb9df0ae3e84f580b1c1426d8b43ac87a696bfbcf78f4ce4
 size 450829256