opus-mt-en-bkm-10e
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 1.5644
- Bleu: 7.1794
- Gen Len: 60.0222
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: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 186 | 2.6868 | 0.299 | 76.178 |
| No log | 2.0 | 372 | 2.0190 | 2.2444 | 67.167 |
| 3.115 | 3.0 | 558 | 1.8364 | 4.5959 | 59.7357 |
| 3.115 | 4.0 | 744 | 1.7372 | 5.1827 | 61.7218 |
| 3.115 | 5.0 | 930 | 1.6732 | 5.8295 | 59.7346 |
| 1.8706 | 6.0 | 1116 | 1.6301 | 6.4389 | 60.9085 |
| 1.8706 | 7.0 | 1302 | 1.6002 | 6.6498 | 60.4191 |
| 1.8706 | 8.0 | 1488 | 1.5792 | 6.8315 | 60.2721 |
| 1.7133 | 9.0 | 1674 | 1.5680 | 7.1239 | 60.5609 |
| 1.7133 | 10.0 | 1860 | 1.5644 | 7.1794 | 60.0222 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Helsinki-NLP/opus-mt-en-ro