m2m100-lg-to-en-v2
This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 11.5952
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: 1e-08
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.3804 | 1.0 | 119 | 12.6272 |
| 12.389 | 2.0 | 238 | 12.5538 |
| 12.3486 | 3.0 | 357 | 12.4810 |
| 12.3239 | 4.0 | 476 | 12.4177 |
| 12.2828 | 5.0 | 595 | 12.1366 |
| 12.0986 | 6.0 | 714 | 12.0700 |
| 12.0733 | 7.0 | 833 | 12.0214 |
| 12.0746 | 8.0 | 952 | 11.9687 |
| 12.0377 | 9.0 | 1071 | 11.9397 |
| 12.0163 | 10.0 | 1190 | 11.9031 |
| 11.95 | 11.0 | 1309 | 11.8120 |
| 11.9303 | 12.0 | 1428 | 11.7297 |
| 11.8673 | 13.0 | 1547 | 11.6198 |
| 11.8117 | 14.0 | 1666 | 11.5958 |
| 11.7915 | 15.0 | 1785 | 11.5952 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1