End of training

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlmv2_Kb_qa04
+  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. -->
+
+# layoutlmv2_Kb_qa04
+
+This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1587
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9629        | 0.57  | 50   | 3.1486          |
+| 2.5694        | 1.14  | 100  | 4.1441          |
+| 2.331         | 1.7   | 150  | 3.4756          |
+| 1.8442        | 2.27  | 200  | 4.1663          |
+| 1.7225        | 2.84  | 250  | 4.1981          |
+| 1.5666        | 3.41  | 300  | 4.2186          |
+| 1.4984        | 3.98  | 350  | 4.1587          |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.12.1

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