Training in progress epoch 0

README.md

@@ -1,26 +1,27 @@
 ---
+license: mit
 base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: layoutlm-funsd-tf
+- name: stevethecur/layoutlm-funsd-tf
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# layoutlm-funsd-tf
+# stevethecur/layoutlm-funsd-tf
 
 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: 0.2493
-- Validation Loss: 0.6923
-- Train Overall Precision: 0.7272
-- Train Overall Recall: 0.8013
-- Train Overall F1: 0.7625
-- Train Overall Accuracy: 0.8013
-- Epoch: 7
+- Train Loss: 1.7553
+- Validation Loss: 1.6258
+- Train Overall Precision: 0.2306
+- Train Overall Recall: 0.1134
+- Train Overall F1: 0.1520
+- Train Overall Accuracy: 0.3303
+- Epoch: 0
 
 ## Model description
 
@@ -46,19 +47,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.7180     | 1.4598          | 0.2174                  | 0.2454               | 0.2306           | 0.4688                 | 0     |
-| 1.1897     | 0.9029          | 0.5570                  | 0.6673               | 0.6072           | 0.7282                 | 1     |
-| 0.7789     | 0.7082          | 0.6413                  | 0.7401               | 0.6872           | 0.7701                 | 2     |
-| 0.5964     | 0.6498          | 0.6840                  | 0.7647               | 0.7221           | 0.7926                 | 3     |
-| 0.4653     | 0.6611          | 0.7031                  | 0.7737               | 0.7367           | 0.7890                 | 4     |
-| 0.3663     | 0.6544          | 0.7159                  | 0.8028               | 0.7569           | 0.8027                 | 5     |
-| 0.3010     | 0.6662          | 0.7274                  | 0.7913               | 0.7580           | 0.8034                 | 6     |
-| 0.2493     | 0.6923          | 0.7272                  | 0.8013               | 0.7625           | 0.8013                 | 7     |
+| 1.7553     | 1.6258          | 0.2306                  | 0.1134               | 0.1520           | 0.3303                 | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
-- TensorFlow 2.13.0
-- Datasets 2.14.5
-- Tokenizers 0.13.3
+- Transformers 4.37.2
+- TensorFlow 2.15.0
+- Datasets 2.17.0
+- Tokenizers 0.15.2

config.json

@@ -36,7 +36,7 @@
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.33.2",
+  "transformers_version": "4.37.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

logs/train/events.out.tfevents.1708026157.d540e77a249f.752.0.v2

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logs/validation/events.out.tfevents.1708026226.d540e77a249f.752.1.v2

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tf_model.h5

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