Training in progress epoch 0

README.md

@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: layoutlm-funsd-tf
+- name: Matt6450/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
+# Matt6450/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: 0.2432
-- Validation Loss: 0.6612
-- Train Overall Precision: 0.7578
-- Train Overall Recall: 0.8068
-- Train Overall F1: 0.7815
-- Train Overall Accuracy: 0.8138
-- Epoch: 7
+- Train Loss: 1.7048
+- Validation Loss: 1.4220
+- Train Overall Precision: 0.2505
+- Train Overall Recall: 0.2955
+- Train Overall F1: 0.2712
+- Train Overall Accuracy: 0.5105
+- Epoch: 0
 
 ## Model description
 
@@ -47,14 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.7342     | 1.4482          | 0.1509                  | 0.1219               | 0.1349           | 0.4614                 | 0     |
-| 1.2368     | 0.9387          | 0.5360                  | 0.6417               | 0.5842           | 0.7187                 | 1     |
-| 0.8113     | 0.7147          | 0.6413                  | 0.7240               | 0.6802           | 0.7733                 | 2     |
-| 0.5923     | 0.6811          | 0.6843                  | 0.7657               | 0.7227           | 0.7861                 | 3     |
-| 0.4557     | 0.6419          | 0.7102                  | 0.7918               | 0.7488           | 0.8010                 | 4     |
-| 0.3524     | 0.6118          | 0.7285                  | 0.8023               | 0.7636           | 0.8163                 | 5     |
-| 0.3015     | 0.6499          | 0.7338                  | 0.8008               | 0.7658           | 0.8081                 | 6     |
-| 0.2432     | 0.6612          | 0.7578                  | 0.8068               | 0.7815           | 0.8138                 | 7     |
+| 1.7048     | 1.4220          | 0.2505                  | 0.2955               | 0.2712           | 0.5105                 | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1707102640.27cbe56dbed9.1266.0.v2

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logs/validation/events.out.tfevents.1707102676.27cbe56dbed9.1266.1.v2

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tf_model.h5

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