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---
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library_name: transformers
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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_docvqa_first
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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_docvqa_first
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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: 3.2572
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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: 2
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 3.8046 | 0.0221 | 10 | 4.6015 |
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| 3.8232 | 0.0442 | 20 | 4.7682 |
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| 3.7611 | 0.0664 | 30 | 4.6595 |
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| 4.1572 | 0.0885 | 40 | 4.3268 |
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| 4.1477 | 0.1106 | 50 | 4.0399 |
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| 4.6312 | 0.1327 | 60 | 4.4170 |
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| 4.2506 | 0.1549 | 70 | 3.8923 |
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| 3.814 | 0.1770 | 80 | 4.2276 |
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| 4.517 | 0.1991 | 90 | 4.2349 |
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| 4.5446 | 0.2212 | 100 | 3.7886 |
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| 4.482 | 0.2434 | 110 | 3.7871 |
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| 4.0186 | 0.2655 | 120 | 3.8549 |
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| 3.6858 | 0.2876 | 130 | 3.8050 |
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| 3.826 | 0.3097 | 140 | 3.7714 |
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| 3.6791 | 0.3319 | 150 | 4.1984 |
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| 4.1924 | 0.3540 | 160 | 3.7813 |
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| 3.8497 | 0.3761 | 170 | 3.6755 |
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| 3.6868 | 0.3982 | 180 | 3.8626 |
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| 4.4311 | 0.4204 | 190 | 3.6253 |
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| 3.7333 | 0.4425 | 200 | 3.5505 |
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| 3.971 | 0.4646 | 210 | 3.6746 |
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| 3.5623 | 0.4867 | 220 | 3.4512 |
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| 3.3989 | 0.5088 | 230 | 3.3751 |
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| 3.5899 | 0.5310 | 240 | 3.3715 |
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| 2.9724 | 0.5531 | 250 | 3.5085 |
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| 4.0829 | 0.5752 | 260 | 3.4023 |
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| 3.4239 | 0.5973 | 270 | 3.2687 |
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| 3.3833 | 0.6195 | 280 | 3.4527 |
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| 4.1309 | 0.6416 | 290 | 3.5902 |
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| 3.7569 | 0.6637 | 300 | 3.3229 |
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| 3.5462 | 0.6858 | 310 | 3.3342 |
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| 3.4489 | 0.7080 | 320 | 3.3608 |
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| 2.9949 | 0.7301 | 330 | 3.3340 |
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| 3.3155 | 0.7522 | 340 | 3.3299 |
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| 3.2365 | 0.7743 | 350 | 3.4070 |
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| 3.3671 | 0.7965 | 360 | 3.3916 |
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| 3.3138 | 0.8186 | 370 | 3.2162 |
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| 3.6234 | 0.8407 | 380 | 3.1907 |
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| 3.7106 | 0.8628 | 390 | 3.2870 |
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| 2.9935 | 0.8850 | 400 | 3.2960 |
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| 3.4659 | 0.9071 | 410 | 3.2714 |
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| 2.8749 | 0.9292 | 420 | 3.2891 |
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| 3.378 | 0.9513 | 430 | 3.2819 |
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| 3.1755 | 0.9735 | 440 | 3.2651 |
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| 3.4684 | 0.9956 | 450 | 3.2572 |
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### Framework versions
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- Transformers 4.44.2
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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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