Training in progress epoch 0

README.md

@@ -3,24 +3,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: layoutlm-funsd-tf
+- name: akshayjr/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
+# akshayjr/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: 0.2802
-- Validation Loss: 0.7063
-- Train Overall Precision: 0.7247
-- Train Overall Recall: 0.7978
-- Train Overall F1: 0.7595
-- Train Overall Accuracy: 0.7947
-- Epoch: 7
+- Train Loss: 1.7069
+- Validation Loss: 1.3988
+- Train Overall Precision: 0.2898
+- Train Overall Recall: 0.3006
+- Train Overall F1: 0.2951
+- Train Overall Accuracy: 0.5336
+- Epoch: 0
 
 ## Model description
 
@@ -46,19 +46,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.7249     | 1.4817          | 0.2929                  | 0.2930               | 0.2930           | 0.4483                 | 0     |
-| 1.1878     | 0.9055          | 0.5484                  | 0.6628               | 0.6002           | 0.7046                 | 1     |
-| 0.7676     | 0.7165          | 0.6282                  | 0.7401               | 0.6796           | 0.7747                 | 2     |
-| 0.5793     | 0.6413          | 0.6910                  | 0.7742               | 0.7302           | 0.7997                 | 3     |
-| 0.4430     | 0.6223          | 0.7306                  | 0.7812               | 0.7551           | 0.8124                 | 4     |
-| 0.3737     | 0.6436          | 0.6926                  | 0.7913               | 0.7386           | 0.8018                 | 5     |
-| 0.3014     | 0.6590          | 0.7151                  | 0.8033               | 0.7566           | 0.8048                 | 6     |
-| 0.2802     | 0.7063          | 0.7247                  | 0.7978               | 0.7595           | 0.7947                 | 7     |
+| 1.7069     | 1.3988          | 0.2898                  | 0.3006               | 0.2951           | 0.5336                 | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.34.1
+- Transformers 4.35.0
 - TensorFlow 2.14.0
 - Datasets 2.14.6
 - Tokenizers 0.14.1

config.json

@@ -36,7 +36,7 @@
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.34.1",
+  "transformers_version": "4.35.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

logs/train/events.out.tfevents.1699434623.617c86864c9a.755.0.v2

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+size 2418053

logs/validation/events.out.tfevents.1699435285.617c86864c9a.755.1.v2

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tf_model.h5

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