layoutlmv3-finetuned-invoice
This model is a fine-tuned version of microsoft/layoutlmv3-base on the generated dataset. It achieves the following results on the evaluation set:
- Loss: 1.9513
- Precision: 0.125
- Recall: 0.0122
- F1: 0.0222
- Accuracy: 0.8763
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.1 | 5 | 1.9513 | 0.125 | 0.0122 | 0.0222 | 0.8763 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1
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Model tree for abhaysanu/layoutlmv3-finetuned-invoice
Base model
microsoft/layoutlmv3-baseEvaluation results
- Precision on generatedtest set self-reported0.125
- Recall on generatedtest set self-reported0.012
- F1 on generatedtest set self-reported0.022
- Accuracy on generatedtest set self-reported0.876