metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-mul-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en_to_dzo_helsinki_mul_mt_nlp_m4
results: []
en_to_dzo_helsinki_mul_mt_nlp_m4
This model is a fine-tuned version of Helsinki-NLP/opus-mt-mul-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0005
- Bleu: 7.6407
- Gen Len: 45.3393
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 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.2015 | 1.0 | 562 | 1.1373 | 4.1298 | 43.9209 |
| 1.1012 | 2.0 | 1124 | 1.0725 | 3.8796 | 46.5185 |
| 1.0195 | 3.0 | 1686 | 1.0360 | 3.3934 | 45.3944 |
| 0.9609 | 4.0 | 2248 | 1.0045 | 7.1881 | 45.7678 |
| 0.9163 | 5.0 | 2810 | 1.0005 | 7.6407 | 45.3393 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0