ru-en_mtmodel
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: 0.2755
- Bleu: 70.991
- Gen Len: 11.4903
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|
| 0.3823 | 1.0 | 15389 | 0.3364 | 66.7745 | 11.4427 |
| 0.2888 | 2.0 | 30778 | 0.2932 | 69.5309 | 11.4803 |
| 0.2336 | 3.0 | 46167 | 0.2755 | 70.991 | 11.4903 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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