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opus-mt-en-vi-own-finetuned-en-to-vi
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4416
- Bleu: 2.1189
- Gen Len: 25.153
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 6.2513 | 1.0 | 1563 | 6.0147 | 0.7038 | 29.165 |
| 5.7184 | 2.0 | 3126 | 5.5631 | 1.9803 | 23.915 |
| 5.5248 | 3.0 | 4689 | 5.4416 | 2.1189 | 25.153 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
