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: LayoutLM_3
+  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. -->
+
+# LayoutLM_3
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7776
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.7851
+
+## 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-06
+- 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        | 3.03  | 100  | 1.1551          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| No log        | 6.06  | 200  | 0.9739          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| No log        | 9.09  | 300  | 0.9131          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| No log        | 12.12 | 400  | 0.8722          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| 1.0495        | 15.15 | 500  | 0.8338          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| 1.0495        | 18.18 | 600  | 0.8131          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| 1.0495        | 21.21 | 700  | 0.8001          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| 1.0495        | 24.24 | 800  | 0.7874          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| 1.0495        | 27.27 | 900  | 0.7797          | 0.0       | 0.0    | 0.0 | 0.7851   |
+| 0.6789        | 30.3  | 1000 | 0.7776          | 0.0       | 0.0    | 0.0 | 0.7851   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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