names-opus
This model is a fine-tuned version of Helsinki-NLP/opus-mt-zh-vi on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4301
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: 0.0002
- train_batch_size: 512
- eval_batch_size: 512
- 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 |
|---|---|---|---|
| 0.6077 | 1.0 | 2039 | 0.5472 |
| 0.5074 | 2.0 | 4078 | 0.4870 |
| 0.4599 | 3.0 | 6117 | 0.4597 |
| 0.4249 | 4.0 | 8156 | 0.4453 |
| 0.3974 | 5.0 | 10195 | 0.4370 |
| 0.3704 | 6.0 | 12234 | 0.4328 |
| 0.3477 | 7.0 | 14273 | 0.4287 |
| 0.325 | 8.0 | 16312 | 0.4278 |
| 0.3096 | 9.0 | 18351 | 0.4296 |
| 0.2934 | 10.0 | 20390 | 0.4301 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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Model tree for b3x0m/names-opus
Base model
Helsinki-NLP/opus-mt-zh-vi