OPUS-en-zh-nospace
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.1289
- Validation Loss: 3.4249
- Train Bleu: 0.0217
- Train Gen Len: 101.9
- Epoch: 2
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|---|---|---|---|---|
| 3.6708 | 3.4622 | 0.0225 | 98.6278 | 0 |
| 3.3378 | 3.4335 | 0.0186 | 101.9167 | 1 |
| 3.1289 | 3.4249 | 0.0217 | 101.9 | 2 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1
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Inference Providers
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Model tree for Mauren/EN-ZH_BEI_3
Base model
Helsinki-NLP/opus-mt-en-zh