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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: layoutlmv2-base-uncased_finetuned_docvqa |
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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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# layoutlmv2-base-uncased_finetuned_docvqa |
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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: 3.6446 |
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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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| 5.1899 | 0.2212 | 50 | 4.5198 | |
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| 4.3841 | 0.4425 | 100 | 3.9910 | |
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| 4.0167 | 0.6637 | 150 | 3.9030 | |
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| 3.7906 | 0.8850 | 200 | 3.4974 | |
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| 3.426 | 1.1062 | 250 | 3.7834 | |
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| 3.0774 | 1.3274 | 300 | 3.2013 | |
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| 2.9541 | 1.5487 | 350 | 3.0711 | |
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| 2.7072 | 1.7699 | 400 | 2.7067 | |
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| 2.3127 | 1.9912 | 450 | 2.6800 | |
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| 2.0786 | 2.2124 | 500 | 2.6677 | |
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| 1.9055 | 2.4336 | 550 | 2.5482 | |
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| 2.0272 | 2.6549 | 600 | 2.2344 | |
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| 1.6753 | 2.8761 | 650 | 2.3265 | |
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| 1.4848 | 3.0973 | 700 | 2.5170 | |
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| 1.4359 | 3.3186 | 750 | 2.4527 | |
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| 1.2884 | 3.5398 | 800 | 2.4033 | |
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| 1.3217 | 3.7611 | 850 | 2.0981 | |
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| 1.3359 | 3.9823 | 900 | 2.2481 | |
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| 0.9068 | 4.2035 | 950 | 2.4053 | |
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| 1.1537 | 4.4248 | 1000 | 2.5739 | |
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| 0.8742 | 4.6460 | 1050 | 2.5003 | |
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| 0.9135 | 4.8673 | 1100 | 2.5511 | |
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| 0.9073 | 5.0885 | 1150 | 2.6724 | |
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| 0.6596 | 5.3097 | 1200 | 2.6174 | |
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| 0.7797 | 5.5310 | 1250 | 2.8350 | |
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| 0.6031 | 5.7522 | 1300 | 3.1642 | |
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| 0.7287 | 5.9735 | 1350 | 3.0317 | |
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| 0.4586 | 6.1947 | 1400 | 3.1821 | |
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| 0.5755 | 6.4159 | 1450 | 3.1222 | |
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| 0.4174 | 6.6372 | 1500 | 3.6997 | |
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| 0.2839 | 6.8584 | 1550 | 3.7044 | |
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| 0.5378 | 7.0796 | 1600 | 3.4223 | |
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| 0.3549 | 7.3009 | 1650 | 3.3740 | |
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| 0.2239 | 7.5221 | 1700 | 3.6018 | |
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| 0.3209 | 7.7434 | 1750 | 3.3689 | |
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| 0.2594 | 7.9646 | 1800 | 3.6625 | |
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| 0.1606 | 8.1858 | 1850 | 3.6916 | |
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| 0.1525 | 8.4071 | 1900 | 3.6299 | |
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| 0.1104 | 8.6283 | 1950 | 3.7133 | |
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| 0.3046 | 8.8496 | 2000 | 3.7701 | |
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| 0.3161 | 9.0708 | 2050 | 3.6224 | |
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| 0.1331 | 9.2920 | 2100 | 3.6198 | |
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| 0.2595 | 9.5133 | 2150 | 3.6251 | |
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| 0.1928 | 9.7345 | 2200 | 3.6359 | |
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| 0.1465 | 9.9558 | 2250 | 3.6446 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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