Training in progress epoch 0

README.md

@@ -1,27 +1,27 @@
 ---
 license: mit
+base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
-base_model: microsoft/layoutlm-base-uncased
 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: 0.6138
-- Validation Loss: 1.0719
-- Train Overall Precision: 0.4799
-- Train Overall Recall: 0.5926
-- Train Overall F1: 0.5303
-- Train Overall Accuracy: 0.6254
-- Epoch: 7
+- Train Loss: 1.6536
+- Validation Loss: 1.4851
+- Train Overall Precision: 0.1737
+- Train Overall Recall: 0.3176
+- Train Overall F1: 0.2245
+- Train Overall Accuracy: 0.4025
+- Epoch: 0
 
 ## Model description
 
@@ -47,19 +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 |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.6621     | 1.4563          | 0.1960                  | 0.3126               | 0.2410           | 0.4075                 | 0     |
-| 1.3485     | 1.2456          | 0.2943                  | 0.4867               | 0.3668           | 0.4838                 | 1     |
-| 1.1546     | 1.1675          | 0.3643                  | 0.5334               | 0.4329           | 0.5295                 | 2     |
-| 1.0163     | 1.0992          | 0.4061                  | 0.5514               | 0.4678           | 0.5842                 | 3     |
-| 0.8892     | 1.0781          | 0.4346                  | 0.5605               | 0.4896           | 0.5989                 | 4     |
-| 0.7755     | 1.1893          | 0.4589                  | 0.5735               | 0.5098           | 0.5913                 | 5     |
-| 0.6631     | 1.0950          | 0.4863                  | 0.5595               | 0.5203           | 0.6265                 | 6     |
-| 0.6138     | 1.0719          | 0.4799                  | 0.5926               | 0.5303           | 0.6254                 | 7     |
+| 1.6536     | 1.4851          | 0.1737                  | 0.3176               | 0.2245           | 0.4025                 | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
+- Transformers 4.38.1
 - TensorFlow 2.15.0
-- Datasets 2.17.0
+- Datasets 2.17.1
 - Tokenizers 0.15.2

config.json

@@ -36,7 +36,7 @@
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.37.2",
+  "transformers_version": "4.38.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

logs/train/events.out.tfevents.1708627332.dd5d2d2c7b92.82.0.v2

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logs/validation/events.out.tfevents.1708627358.dd5d2d2c7b92.82.1.v2

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tf_model.h5

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