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opus-mt-tr-en-finetuned-az-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tr-en on the turkic_xwmt dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0002
- Gen Len: 511.0
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: 0.2
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 38 | nan | 0.0002 | 511.0 |
| No log | 2.0 | 76 | nan | 0.0002 | 511.0 |
| No log | 3.0 | 114 | nan | 0.0002 | 511.0 |
| No log | 4.0 | 152 | nan | 0.0002 | 511.0 |
| No log | 5.0 | 190 | nan | 0.0002 | 511.0 |
| No log | 6.0 | 228 | nan | 0.0002 | 511.0 |
| No log | 7.0 | 266 | nan | 0.0002 | 511.0 |
| No log | 8.0 | 304 | nan | 0.0002 | 511.0 |
| No log | 9.0 | 342 | nan | 0.0002 | 511.0 |
| No log | 10.0 | 380 | nan | 0.0002 | 511.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
