mt5-small-finetuned-ar-to-th-finetuned-ar-to-th-2nd-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: 3.3165
Model description
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Intended uses & limitations
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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 |
|---|---|---|---|---|
| 3.6145 | 1.0 | 18750 | 2.8839 | 3.0191 |
| 3.4223 | 2.0 | 37500 | 2.7711 | 3.3141 |
| 3.3662 | 3.0 | 56250 | 2.7393 | 3.3165 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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