m2m100_418M
This model is a fine-tuned version of kazandaev/m2m100_418M on the custom en-ru dataset. It achieves the following results on the evaluation set:
- Loss: 0.8954
- Bleu: 32.0585
- Gen Len: 36.1643
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: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.8087 | 1.0 | 47790 | 0.9542 | 30.786 | 36.1469 |
| 0.7266 | 2.0 | 95580 | 0.8954 | 32.0585 | 36.1643 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.2.0.dev20230920+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3
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Dataset used to train kazandaev/m2m100_418M
Evaluation results
- Bleu on wmt16validation set self-reported32.059