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layoutlmv3-final-v4-BI
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: 2.1471
- Precision: 0.5571
- Recall: 0.4728
- F1: 0.5115
- Accuracy: 0.4681
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.26 | 10 | 3.1260 | 0.1518 | 0.1149 | 0.1308 | 0.1478 |
| No log | 0.51 | 20 | 2.9269 | 0.1409 | 0.0471 | 0.0706 | 0.1592 |
| No log | 0.77 | 30 | 2.7697 | 0.2328 | 0.1102 | 0.1496 | 0.2116 |
| No log | 1.03 | 40 | 2.6158 | 0.4015 | 0.2895 | 0.3364 | 0.3455 |
| No log | 1.28 | 50 | 2.4704 | 0.4495 | 0.3486 | 0.3927 | 0.3784 |
| No log | 1.54 | 60 | 2.3492 | 0.4964 | 0.4070 | 0.4473 | 0.4195 |
| No log | 1.79 | 70 | 2.2643 | 0.5243 | 0.4369 | 0.4766 | 0.4416 |
| No log | 2.05 | 80 | 2.1982 | 0.5454 | 0.4588 | 0.4984 | 0.4574 |
| No log | 2.31 | 90 | 2.1600 | 0.5516 | 0.4688 | 0.5068 | 0.4637 |
| No log | 2.56 | 100 | 2.1471 | 0.5571 | 0.4728 | 0.5115 | 0.4681 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.8.0+cu101
- Datasets 2.12.0
- Tokenizers 0.13.3
