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mt5-small-finetuned-ar-to-th-finetuned-ar-to-th-2nd-round-finetuned-ar-to-th-3rd-round
This model is a fine-tuned version of Shularp/mt5-small-finetuned-ar-to-th on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7393
- Bleu: 5.3860
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 3.5917 | 1.0 | 16806 | 2.8661 | 4.1430 |
| 3.432 | 2.0 | 33612 | 2.7698 | 5.0779 |
| 3.3793 | 3.0 | 50418 | 2.7393 | 5.3860 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
