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az-to-en-translator
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tr-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8842
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| No log | 1.0 | 1 | 6.3496 |
| No log | 2.0 | 2 | 4.9010 |
| No log | 3.0 | 3 | 3.4785 |
| No log | 4.0 | 4 | 2.5721 |
| No log | 5.0 | 5 | 2.1604 |
| No log | 6.0 | 6 | 1.9792 |
| No log | 7.0 | 7 | 1.9214 |
| No log | 8.0 | 8 | 1.9004 |
| No log | 9.0 | 9 | 1.8907 |
| No log | 10.0 | 10 | 1.8842 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.2
