en-ur-mt-mini
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ur on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8459
- Bleu: 22.8909
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.2081 | 0.32 | 200 | 0.8459 | 23.1875 |
| 0.2441 | 0.64 | 400 | 0.8479 | 22.8478 |
| 0.177 | 0.96 | 600 | 0.8455 | 22.3542 |
| 0.1771 | 1.28 | 800 | 0.8459 | 22.8909 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.19.1
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Model tree for AMAJEED2003/en-ur-mt-mini
Base model
Helsinki-NLP/opus-mt-en-ur