library_name: transformers | |
license: cc-by-nc-sa-4.0 | |
base_model: microsoft/layoutlmv3-base | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: layoutlmv3-finetuned-ubiai-dataset-invoice-2 | |
results: [] | |
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# layoutlmv3-finetuned-ubiai-dataset-invoice-2 | |
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: 0.7531 | |
## 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: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 1.771 | 1.0 | 12 | 1.0200 | | |
| 0.9657 | 2.0 | 24 | 0.8019 | | |
| 0.7794 | 3.0 | 36 | 0.7531 | | |
### Framework versions | |
- Transformers 4.44.2 | |
- Pytorch 2.4.1+cu121 | |
- Datasets 3.0.1 | |
- Tokenizers 0.19.1 | |