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opus-mt-en-ar-finetuned-dummyData-10-10-ar-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the syssr_en_ar dataset. It achieves the following results on the evaluation set:
- Loss: 1.2046
- Bleu: 7.9946
- Gen Len: 20.0
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: 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | 1.2038 | 7.9946 | 20.0 |
| No log | 2.0 | 2 | 1.2038 | 7.9946 | 20.0 |
| No log | 3.0 | 3 | 1.2038 | 7.9946 | 20.0 |
| No log | 4.0 | 4 | 1.2036 | 7.9946 | 20.0 |
| No log | 5.0 | 5 | 1.2046 | 7.9946 | 20.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.12.1
- Tokenizers 0.10.3
