End of training

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: test
+  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. -->
+
+# test
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0167
+- Precision: 0.7541
+- Recall: 0.6479
+- F1: 0.6970
+- Accuracy: 0.7975
+
+## 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: 1e-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: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 4.55  | 100  | 1.2849          | 0.5789    | 0.4648 | 0.5156 | 0.6456   |
+| No log        | 9.09  | 200  | 1.0959          | 0.6724    | 0.5493 | 0.6047 | 0.7215   |
+| No log        | 13.64 | 300  | 1.1048          | 0.6833    | 0.5775 | 0.6260 | 0.7342   |
+| No log        | 18.18 | 400  | 1.0442          | 0.7541    | 0.6479 | 0.6970 | 0.7848   |
+| 0.488         | 22.73 | 500  | 1.0966          | 0.7333    | 0.6197 | 0.6718 | 0.7722   |
+| 0.488         | 27.27 | 600  | 1.0650          | 0.75      | 0.6338 | 0.6870 | 0.7848   |
+| 0.488         | 31.82 | 700  | 0.9722          | 0.7742    | 0.6761 | 0.7218 | 0.8101   |
+| 0.488         | 36.36 | 800  | 1.0596          | 0.7541    | 0.6479 | 0.6970 | 0.7975   |
+| 0.488         | 40.91 | 900  | 0.9996          | 0.7541    | 0.6479 | 0.6970 | 0.7975   |
+| 0.0298        | 45.45 | 1000 | 1.0167          | 0.7541    | 0.6479 | 0.6970 | 0.7975   |
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 1.12.0+cu102
+- Datasets 2.13.1
+- Tokenizers 0.13.3

preprocessor_config.json

@@ -1,5 +1,5 @@
 {
-  "apply_ocr": false,
+  "apply_ocr": true,
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,

runs/Jul03_21-53-23_b4afdd1eefca/events.out.tfevents.1688421212.b4afdd1eefca.2695.0

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runs/Jul03_21-53-23_b4afdd1eefca/events.out.tfevents.1688421787.b4afdd1eefca.2695.1

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