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layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3848
- Precision: 0.9023
- Recall: 0.9192
- F1: 0.9106
- Accuracy: 0.9202
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: 5
- eval_batch_size: 5
- 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 | 6.25 | 250 | 0.9576 | 0.7878 | 0.8196 | 0.8034 | 0.8166 |
| 1.3167 | 12.5 | 500 | 0.5210 | 0.8536 | 0.8772 | 0.8653 | 0.8846 |
| 1.3167 | 18.75 | 750 | 0.4077 | 0.8798 | 0.9042 | 0.8918 | 0.9113 |
| 0.2603 | 25.0 | 1000 | 0.3943 | 0.8902 | 0.9102 | 0.9001 | 0.9147 |
| 0.2603 | 31.25 | 1250 | 0.3691 | 0.8980 | 0.9162 | 0.9070 | 0.9194 |
| 0.1009 | 37.5 | 1500 | 0.3496 | 0.9130 | 0.9274 | 0.9202 | 0.9266 |
| 0.1009 | 43.75 | 1750 | 0.3700 | 0.9078 | 0.9214 | 0.9146 | 0.9266 |
| 0.056 | 50.0 | 2000 | 0.3724 | 0.9065 | 0.9214 | 0.9139 | 0.9215 |
| 0.056 | 56.25 | 2250 | 0.3773 | 0.9051 | 0.9207 | 0.9128 | 0.9202 |
| 0.0413 | 62.5 | 2500 | 0.3848 | 0.9023 | 0.9192 | 0.9106 | 0.9202 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
