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opus-mt-tr-en-finetuned-tr-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tr-en on the opus_infopankki dataset. It achieves the following results on the evaluation set:
- Loss: 0.6924
- Bleu: 54.7617
- Gen Len: 13.5501
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 412 | 1.1776 | 43.3104 | 12.9297 |
| 1.4032 | 2.0 | 824 | 1.0750 | 45.7912 | 12.9155 |
| 1.2268 | 3.0 | 1236 | 1.0019 | 47.6255 | 12.9251 |
| 1.141 | 4.0 | 1648 | 0.9411 | 49.0649 | 12.9302 |
| 1.0651 | 5.0 | 2060 | 0.8929 | 50.4894 | 12.9066 |
| 1.0651 | 6.0 | 2472 | 0.8519 | 51.5072 | 12.9067 |
| 1.0025 | 7.0 | 2884 | 0.8180 | 52.5035 | 12.8875 |
| 0.9582 | 8.0 | 3296 | 0.7893 | 51.7587 | 13.5338 |
| 0.9173 | 9.0 | 3708 | 0.7655 | 52.3566 | 13.5376 |
| 0.8892 | 10.0 | 4120 | 0.7449 | 53.0488 | 13.5545 |
| 0.8639 | 11.0 | 4532 | 0.7285 | 53.5965 | 13.5539 |
| 0.8639 | 12.0 | 4944 | 0.7152 | 53.9433 | 13.5547 |
| 0.8424 | 13.0 | 5356 | 0.7053 | 54.2509 | 13.5502 |
| 0.8317 | 14.0 | 5768 | 0.6981 | 54.5339 | 13.5502 |
| 0.817 | 15.0 | 6180 | 0.6938 | 54.7068 | 13.5448 |
| 0.8155 | 16.0 | 6592 | 0.6924 | 54.7617 | 13.5501 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.7.1+cu110
- Datasets 2.2.2
- Tokenizers 0.12.1
