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iva_mt_wslot-m2m100_418M-en-pl-nomassive
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: 0.3751
- Bleu: 61.2295
- Gen Len: 23.3774
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.4315 | 1.0 | 2212 | 0.3475 | 57.0703 | 23.338 |
| 0.2976 | 2.0 | 4424 | 0.3295 | 58.3378 | 23.5036 |
| 0.2153 | 3.0 | 6636 | 0.3347 | 59.3015 | 23.5601 |
| 0.1542 | 4.0 | 8848 | 0.3420 | 59.3942 | 23.4442 |
| 0.1177 | 5.0 | 11060 | 0.3454 | 60.4525 | 23.3501 |
| 0.0858 | 6.0 | 13272 | 0.3529 | 60.6123 | 23.3422 |
| 0.06 | 7.0 | 15484 | 0.3586 | 60.1342 | 23.4478 |
| 0.0479 | 8.0 | 17696 | 0.3668 | 60.6348 | 23.4163 |
| 0.0371 | 9.0 | 19908 | 0.3728 | 61.3986 | 23.4436 |
| 0.0299 | 10.0 | 22120 | 0.3751 | 61.2295 | 23.3774 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
