layoutlmv3-finetuned-language-levels-v4
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0013
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
Model description
More information needed
Intended uses & limitations
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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: 1000
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 0.0290 | 100 | 0.0100 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.0579 | 200 | 0.0036 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.0869 | 300 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
No log | 0.1158 | 400 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0123 | 0.1448 | 500 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0123 | 0.1738 | 600 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0123 | 0.2027 | 700 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0123 | 0.2317 | 800 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0123 | 0.2606 | 900 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
0.0018 | 0.2896 | 1000 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
microsoft/layoutlmv3-base