nepali_citiznship_model_final_with_belu
This model is a fine-tuned version of nielsr/lilt-xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1526
- Precision: 0.9148
- Recall: 0.9151
- F1: 0.9149
- Accuracy: 0.9730
- Bleu Score: 0.9619
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Bleu Score |
---|---|---|---|---|---|---|---|---|
No log | 1.5625 | 50 | 0.3275 | 0.7670 | 0.8005 | 0.7834 | 0.9063 | 0.8494 |
No log | 3.125 | 100 | 0.1563 | 0.8666 | 0.8883 | 0.8773 | 0.9602 | 0.9390 |
No log | 4.6875 | 150 | 0.1267 | 0.8977 | 0.9098 | 0.9037 | 0.9695 | 0.9533 |
No log | 6.25 | 200 | 0.1174 | 0.9105 | 0.9210 | 0.9157 | 0.9736 | 0.9618 |
No log | 7.8125 | 250 | 0.1220 | 0.8984 | 0.9148 | 0.9065 | 0.9707 | 0.9591 |
No log | 9.375 | 300 | 0.1240 | 0.9055 | 0.9151 | 0.9103 | 0.9720 | 0.9611 |
No log | 10.9375 | 350 | 0.1175 | 0.9192 | 0.9174 | 0.9183 | 0.9742 | 0.9638 |
No log | 12.5 | 400 | 0.1220 | 0.9050 | 0.9161 | 0.9105 | 0.9720 | 0.9611 |
No log | 14.0625 | 450 | 0.1275 | 0.9202 | 0.9177 | 0.9190 | 0.9742 | 0.9635 |
0.1814 | 15.625 | 500 | 0.1307 | 0.9185 | 0.9164 | 0.9175 | 0.9740 | 0.9633 |
0.1814 | 17.1875 | 550 | 0.1347 | 0.9147 | 0.9214 | 0.9180 | 0.9741 | 0.9621 |
0.1814 | 18.75 | 600 | 0.1395 | 0.9168 | 0.9174 | 0.9171 | 0.9739 | 0.9629 |
0.1814 | 20.3125 | 650 | 0.1449 | 0.9224 | 0.9144 | 0.9184 | 0.9744 | 0.9631 |
0.1814 | 21.875 | 700 | 0.1473 | 0.9151 | 0.9118 | 0.9135 | 0.9729 | 0.9614 |
0.1814 | 23.4375 | 750 | 0.1448 | 0.9140 | 0.9164 | 0.9152 | 0.9731 | 0.9616 |
0.1814 | 25.0 | 800 | 0.1491 | 0.9109 | 0.9184 | 0.9146 | 0.9729 | 0.9619 |
0.1814 | 26.5625 | 850 | 0.1494 | 0.9121 | 0.9191 | 0.9156 | 0.9731 | 0.9622 |
0.1814 | 28.125 | 900 | 0.1539 | 0.9177 | 0.9101 | 0.9139 | 0.9732 | 0.9619 |
0.1814 | 29.6875 | 950 | 0.1526 | 0.9148 | 0.9151 | 0.9149 | 0.9730 | 0.9619 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for bashyaldhiraj2067/nepali_citiznship_model_final_with_belu
Base model
nielsr/lilt-xlm-roberta-base