layoutlmv3-finetuned-arabic_fullname
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0196
- Precision: 0.0242
- Recall: 1.0
- F1: 0.0472
- Accuracy: 0.8561
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 2500
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 6.7568 | 250 | 0.0133 | 0.1352 | 1.0 | 0.2382 | 0.9772 |
0.0316 | 13.5135 | 500 | 0.0164 | 0.0185 | 1.0 | 0.0364 | 0.8111 |
0.0316 | 20.2703 | 750 | 0.0177 | 0.0173 | 1.0 | 0.0341 | 0.7981 |
0.0007 | 27.0270 | 1000 | 0.0180 | 0.0652 | 1.0 | 0.1225 | 0.9489 |
0.0007 | 33.7838 | 1250 | 0.0188 | 0.0798 | 1.0 | 0.1478 | 0.9589 |
0.0007 | 40.5405 | 1500 | 0.0175 | 0.0238 | 1.0 | 0.0465 | 0.8540 |
0.0007 | 47.2973 | 1750 | 0.0189 | 0.0110 | 1.0 | 0.0218 | 0.6807 |
0.0003 | 54.0541 | 2000 | 0.0193 | 0.0110 | 1.0 | 0.0218 | 0.6805 |
0.0003 | 60.8108 | 2250 | 0.0195 | 0.0240 | 1.0 | 0.0469 | 0.8553 |
0.0 | 67.5676 | 2500 | 0.0196 | 0.0242 | 1.0 | 0.0472 | 0.8561 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Downloads last month
- 6
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for nadirzn/layoutlmv3-finetuned-arabic_fullname
Base model
microsoft/layoutlmv3-base