wlhb_en_zh_marian_1
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1275
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.141 | 1.0 | 20629 | 0.1308 |
| 0.1259 | 2.0 | 41258 | 0.1286 |
| 0.1189 | 3.0 | 61887 | 0.1277 |
| 0.1149 | 4.0 | 82516 | 0.1275 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Model tree for Goshective/wlhb_en_zh_marian_1
Base model
Helsinki-NLP/opus-mt-en-zh