metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ddd5fb9da60b7ae478d3ac4abc978cbd
results: []
ddd5fb9da60b7ae478d3ac4abc978cbd
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul on the Helsinki-NLP/opus_books [fr-pl] dataset. It achieves the following results on the evaluation set:
- Loss: 2.3768
- Data Size: 1.0
- Epoch Runtime: 5.4013
- Bleu: 1.1587
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Bleu |
|---|---|---|---|---|---|---|
| No log | 0 | 0 | 8.2753 | 0 | 0.9162 | 0.0238 |
| No log | 1 | 70 | 6.1540 | 0.0078 | 1.3710 | 0.1420 |
| No log | 2 | 140 | 4.9738 | 0.0156 | 1.3461 | 0.1688 |
| No log | 3 | 210 | 4.0354 | 0.0312 | 1.6539 | 0.1348 |
| No log | 4 | 280 | 3.5166 | 0.0625 | 1.7714 | 0.2536 |
| No log | 5 | 350 | 3.1272 | 0.125 | 2.2604 | 0.5318 |
| No log | 6 | 420 | 2.7247 | 0.25 | 3.2300 | 0.5716 |
| 0.482 | 7 | 490 | 2.4319 | 0.5 | 4.3451 | 0.8376 |
| 2.1876 | 8.0 | 560 | 2.1861 | 1.0 | 6.8048 | 1.1013 |
| 1.8653 | 9.0 | 630 | 2.1413 | 1.0 | 5.5837 | 1.0674 |
| 1.5391 | 10.0 | 700 | 2.1644 | 1.0 | 5.5167 | 1.1017 |
| 1.3007 | 11.0 | 770 | 2.2021 | 1.0 | 5.5199 | 1.0864 |
| 1.1711 | 12.0 | 840 | 2.2794 | 1.0 | 5.4068 | 1.1810 |
| 0.9441 | 13.0 | 910 | 2.3768 | 1.0 | 5.4013 | 1.1587 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1