metadata
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Nso_update2
results: []
En-Nso_update2
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-nso on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4199
- Bleu: 24.4776
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 3.6661 | 1.0 | 865 | 3.0081 | 17.6871 |
| 2.7495 | 2.0 | 1730 | 2.7725 | 20.1475 |
| 2.4533 | 3.0 | 2595 | 2.6433 | 22.5433 |
| 2.3203 | 4.0 | 3460 | 2.5625 | 22.9963 |
| 2.1356 | 5.0 | 4325 | 2.5190 | 23.5696 |
| 2.0258 | 6.0 | 5190 | 2.4881 | 23.8367 |
| 1.9481 | 7.0 | 6055 | 2.4641 | 24.0611 |
| 1.8769 | 8.0 | 6920 | 2.4526 | 24.3214 |
| 1.8211 | 9.0 | 7785 | 2.4392 | 24.5300 |
| 1.7689 | 10.0 | 8650 | 2.4307 | 24.4627 |
| 1.7314 | 11.0 | 9515 | 2.4254 | 24.4936 |
| 1.7 | 12.0 | 10380 | 2.4243 | 24.4673 |
| 1.6695 | 13.0 | 11245 | 2.4202 | 24.5613 |
| 1.6562 | 14.0 | 12110 | 2.4200 | 24.4886 |
| 1.6446 | 15.0 | 12975 | 2.4199 | 24.4711 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1