linguo_mt_kvj_en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ROMANCE on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7138
- Bleu: 6.8321
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.8687 | 1.0 | 1547 | 0.8389 | 5.3155 |
| 0.7065 | 2.0 | 3094 | 0.7417 | 5.9886 |
| 0.6751 | 3.0 | 4641 | 0.7138 | 6.8321 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for DS4H-ICTU/linguo_mt_kvj_en
Base model
Helsinki-NLP/opus-mt-en-ROMANCE