metadata
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-hu-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: output
results: []
datasets:
- matekadlicsko/hungarian-news-translations
language:
- hu
- en
pipeline_tag: translation
opus-mt-tc-big-hu-en-finetuned-news
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-hu-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1956
- Bleu: 39.6514
- Gen Len: 51.7972
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 0.23 | 150 | 1.2390 | 37.7285 | 51.2344 |
| No log | 0.46 | 300 | 1.2198 | 38.0141 | 50.9959 |
| No log | 0.7 | 450 | 1.1969 | 38.4344 | 51.464 |
| 1.2949 | 0.93 | 600 | 1.1898 | 38.6658 | 51.379 |
| 1.2949 | 1.16 | 750 | 1.1968 | 38.646 | 51.34 |
| 1.2949 | 1.39 | 900 | 1.1948 | 38.9869 | 51.7807 |
| 1.0345 | 1.62 | 1050 | 1.1866 | 39.1708 | 51.7604 |
| 1.0345 | 1.85 | 1200 | 1.1792 | 39.4682 | 51.661 |
| 1.0345 | 2.09 | 1350 | 1.1974 | 39.5432 | 51.882 |
| 0.8679 | 2.32 | 1500 | 1.1971 | 39.5958 | 51.7895 |
| 0.8679 | 2.55 | 1650 | 1.1980 | 39.5926 | 52.0244 |
| 0.8679 | 2.78 | 1800 | 1.1961 | 39.6369 | 51.8143 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0