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m2m100_418M-finetuned-tq-to-ar
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4806
- Bleu: 3.5687
- Gen Len: 37.0213
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.0921 | 0.71 | 500 | 2.4668 | 3.4363 | 37.5629 |
| 2.2662 | 1.42 | 1000 | 2.4560 | 3.4209 | 37.3412 |
| 2.2529 | 2.13 | 1500 | 2.4655 | 3.3428 | 36.7942 |
| 2.2298 | 2.84 | 2000 | 2.4653 | 3.1674 | 38.6119 |
| 2.2172 | 3.56 | 2500 | 2.4806 | 3.5687 | 37.0213 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
