End of training

README.md

@@ -0,0 +1,47 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: lilt-en-funsd
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# lilt-en-funsd
+
+This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base) on the None dataset.
+
+## 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:
+- learning_rate: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 150
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.0
+- Tokenizers 0.13.3

config.json

@@ -12,24 +12,24 @@
   "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"
+    "0": "other",
+    "1": "Bill Date",
+    "2": "Amount Due",
+    "3": "Account Number",
+    "4": "Customer Name",
+    "5": "Due Date",
+    "6": "Amount Due With Penalty"
   },
   "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
+    "Account Number": 3,
+    "Amount Due": 2,
+    "Amount Due With Penalty": 6,
+    "Bill Date": 1,
+    "Customer Name": 4,
+    "Due Date": 5,
+    "other": 0
   },
   "layer_norm_eps": 1e-05,
   "max_2d_position_embeddings": 1024,
@@ -40,7 +40,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.30.1",
+  "transformers_version": "4.30.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

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preprocessor_config.json

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+{
+  "apply_ocr": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "LayoutLMv3FeatureExtractor",
+  "image_std": [
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+  "ocr_lang": null,
+  "processor_class": "LayoutLMv3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 224
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+  "tesseract_config": ""
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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