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license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-final-v1
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. -->
# layoutlmv3-final-v1
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0822
- Precision: 0.9789
- Recall: 0.9839
- F1: 0.9814
- Accuracy: 0.9852
## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 2.56 | 100 | 1.7056 | 0.4839 | 0.5464 | 0.5133 | 0.6494 |
| No log | 5.13 | 200 | 0.4856 | 0.8255 | 0.8821 | 0.8528 | 0.9217 |
| No log | 7.69 | 300 | 0.2319 | 0.9027 | 0.9355 | 0.9188 | 0.9575 |
| No log | 10.26 | 400 | 0.1437 | 0.9652 | 0.9778 | 0.9715 | 0.9800 |
| 0.9248 | 12.82 | 500 | 0.1204 | 0.967 | 0.9748 | 0.9709 | 0.9770 |
| 0.9248 | 15.38 | 600 | 0.1025 | 0.9711 | 0.9808 | 0.9759 | 0.9790 |
| 0.9248 | 17.95 | 700 | 0.0971 | 0.9789 | 0.9829 | 0.9809 | 0.9826 |
| 0.9248 | 20.51 | 800 | 0.0885 | 0.9819 | 0.9849 | 0.9834 | 0.9846 |
| 0.9248 | 23.08 | 900 | 0.0858 | 0.9789 | 0.9839 | 0.9814 | 0.9857 |
| 0.0697 | 25.64 | 1000 | 0.0822 | 0.9789 | 0.9839 | 0.9814 | 0.9852 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.8.0+cu101
- Datasets 2.12.0
- Tokenizers 0.13.3
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