End of training

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- mydata
+model-index:
+- name: lilt-en-funsd-custom
+  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-custom
+
+This model is a fine-tuned version of [quethrozar/lilt-en-funsd](https://huggingface.co/quethrozar/lilt-en-funsd) on the mydata dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0
+- In: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6}
+- Ear: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6}
+- Overall Precision: 1.0
+- Overall Recall: 1.0
+- Overall F1: 1.0
+- Overall Accuracy: 1.0
+
+## 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:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | In                                                        | Ear                                                       | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------:|:---------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 0.0           | 3.33  | 10   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 6.67  | 20   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 10.0  | 30   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 13.33 | 40   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 16.67 | 50   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 20.0  | 60   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 23.33 | 70   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 26.67 | 80   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 30.0  | 90   | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.0           | 33.33 | 100  | 0.0             | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 6} | 1.0               | 1.0            | 1.0        | 1.0              |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 1.8.0+cu101
+- Datasets 2.12.0
+- Tokenizers 0.13.3

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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": "LayoutLMv3ImageProcessor",
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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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+}

tokenizer_config.json

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+  "errors": "replace",
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+    "content": "<mask>",
+    "lstrip": true,
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+  "model_max_length": 512,
+  "only_label_first_subword": true,
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+    "single_word": false
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+}