opus-mt-en-bkm-Final-80
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: 1.4265
- Bleu: 10.3853
- Gen Len: 49.8443
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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.4583 | 1.0 | 781 | 2.0553 | 3.6067 | 54.2885 |
| 1.9985 | 2.0 | 1562 | 1.8020 | 5.5427 | 48.141 |
| 1.8553 | 3.0 | 2343 | 1.6664 | 6.9654 | 48.4025 |
| 1.6865 | 4.0 | 3124 | 1.5875 | 7.949 | 47.8417 |
| 1.6207 | 5.0 | 3905 | 1.5302 | 8.6008 | 48.1286 |
| 1.5265 | 6.0 | 4686 | 1.4857 | 9.3569 | 49.3219 |
| 1.4961 | 7.0 | 5467 | 1.4598 | 9.7246 | 50.4949 |
| 1.4409 | 8.0 | 6248 | 1.4413 | 10.0815 | 49.4964 |
| 1.4101 | 9.0 | 7029 | 1.4288 | 10.3204 | 49.9725 |
| 1.3954 | 10.0 | 7810 | 1.4265 | 10.3853 | 49.8443 |
Framework versions
- Transformers 4.39.3
- 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