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End of training
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README.md
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license:
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---
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license: cc-by-nc-sa-4.0
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base_model: microsoft/layoutlmv2-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: test-mod
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pacman2223-kwame-nkrumah-university-of-science-and-techn/huggingface/runs/7mpn8s65)
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# test-mod
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This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7093
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 4.4543 | 0.4425 | 100 | 4.1263 |
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| 3.8184 | 0.8850 | 200 | 3.6020 |
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| 3.1679 | 1.3274 | 300 | 3.2677 |
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| 2.8445 | 1.7699 | 400 | 2.7349 |
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| 2.1075 | 2.2124 | 500 | 2.7777 |
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| 2.0023 | 2.6549 | 600 | 2.2916 |
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| 1.6039 | 3.0973 | 700 | 2.9570 |
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| 1.3588 | 3.5398 | 800 | 2.3464 |
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| 1.2134 | 3.9823 | 900 | 2.5250 |
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| 1.0646 | 4.4248 | 1000 | 2.4559 |
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| 0.9066 | 4.8673 | 1100 | 2.8075 |
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| 0.7531 | 5.3097 | 1200 | 2.6887 |
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| 0.5598 | 5.7522 | 1300 | 3.2975 |
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| 0.4299 | 6.1947 | 1400 | 3.3297 |
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| 0.3816 | 6.6372 | 1500 | 3.4080 |
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| 0.5005 | 7.0796 | 1600 | 2.9232 |
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| 0.3535 | 7.5221 | 1700 | 3.5700 |
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| 0.2528 | 7.9646 | 1800 | 3.4312 |
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| 0.1815 | 8.4071 | 1900 | 3.6603 |
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| 0.3175 | 8.8496 | 2000 | 3.7269 |
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| 0.1152 | 9.2920 | 2100 | 3.7923 |
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| 0.2856 | 9.7345 | 2200 | 3.7093 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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