metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-mul
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5011
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 180 | 0.5012 |
| No log | 2.0 | 360 | 0.4840 |
| 0.5433 | 3.0 | 540 | 0.4754 |
| 0.5433 | 4.0 | 720 | 0.4748 |
| 0.5433 | 5.0 | 900 | 0.4761 |
| 0.4046 | 6.0 | 1080 | 0.4735 |
| 0.4046 | 7.0 | 1260 | 0.4774 |
| 0.4046 | 8.0 | 1440 | 0.4816 |
| 0.3441 | 9.0 | 1620 | 0.4797 |
| 0.3441 | 10.0 | 1800 | 0.4850 |
| 0.3441 | 11.0 | 1980 | 0.4855 |
| 0.3032 | 12.0 | 2160 | 0.4881 |
| 0.3032 | 13.0 | 2340 | 0.4907 |
| 0.2687 | 14.0 | 2520 | 0.4934 |
| 0.2687 | 15.0 | 2700 | 0.4950 |
| 0.2687 | 16.0 | 2880 | 0.4973 |
| 0.2463 | 17.0 | 3060 | 0.4983 |
| 0.2463 | 18.0 | 3240 | 0.5005 |
| 0.2463 | 19.0 | 3420 | 0.5011 |
| 0.2352 | 20.0 | 3600 | 0.5011 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0+cpu
- Datasets 3.0.1
- Tokenizers 0.20.0