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layoutlmv3-finetuned-cne_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cne-layoutlmv3-data dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
- Precision: 0.9951
- Recall: 0.9951
- F1: 0.9951
- Accuracy: 0.9993
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 7.81 | 250 | 0.0028 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0229 | 15.62 | 500 | 0.0015 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0229 | 23.44 | 750 | 0.0011 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0031 | 31.25 | 1000 | 0.0009 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0031 | 39.06 | 1250 | 0.0009 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0019 | 46.88 | 1500 | 0.0008 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0019 | 54.69 | 1750 | 0.0008 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0014 | 62.5 | 2000 | 0.0008 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0014 | 70.31 | 2250 | 0.0008 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.001 | 78.12 | 2500 | 0.0008 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
