Training in progress epoch 0

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Mustafa21/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. -->
+
+# Mustafa21/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: 1.1546
+- Validation Loss: 0.6939
+- Train Overall Precision: 0.6387
+- Train Overall Recall: 0.7381
+- Train Overall F1: 0.6848
+- Train Overall Accuracy: 0.7761
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### 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}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
+|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
+| 1.1546     | 0.6939          | 0.6387                  | 0.7381               | 0.6848           | 0.7761                 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- TensorFlow 2.10.0
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

@@ -0,0 +1,44 @@
+{
+  "_name_or_path": "microsoft/layoutlm-base-uncased",
+  "architectures": [
+    "LayoutLMForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-HEADER",
+    "2": "I-HEADER",
+    "3": "B-QUESTION",
+    "4": "I-QUESTION",
+    "5": "B-ANSWER",
+    "6": "I-ANSWER"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ANSWER": 5,
+    "B-HEADER": 1,
+    "B-QUESTION": 3,
+    "I-ANSWER": 6,
+    "I-HEADER": 2,
+    "I-QUESTION": 4,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 512,
+  "model_type": "layoutlm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.26.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

logs/train/events.out.tfevents.1675181161.LSLAPTOP12-LNX.19975.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:217e226242f72c4314c499c862030fab8ae0ae7258f42eb8ebb7d2ac5e976e1f
+size 40

logs/train/events.out.tfevents.1675181235.LSLAPTOP12-LNX.19975.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e04e25f966f07938bdfa5d391fc2075f4a7e938447aa48dfff3d4aa213fa339
+size 40

logs/train/events.out.tfevents.1675181842.LSLAPTOP12-LNX.19975.2.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da003b8886d76598b4b6adebb63346e5db0e9609199ff0e2b72409110f640b1b
+size 40

logs/train/events.out.tfevents.1675182416.LSLAPTOP12-LNX.22659.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c11777a0cc598cad7ded7e3fb2b6fc6ffa308df3b7da2a2224f7a519cb9d35d7
+size 2237113

logs/validation/events.out.tfevents.1675182494.LSLAPTOP12-LNX.22659.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4244c03db34cf098f75533b2da48be52b9c3369c6f3b83b9cbb8152b0f7ebf86
+size 194

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7c5571115041aac301b2dbdf43c3a744e45532816ebff0e9d24d4a74ff439e9
+size 450829256