metadata
license: apache-2.0
base_model: PRAli22/arat5-arabic-dialects-translation
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-finetuned-ar-to-arsl3
results: []
t5-finetuned-ar-to-arsl3
This model is a fine-tuned version of PRAli22/arat5-arabic-dialects-translation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3891
- Bleu: 0.9525
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| No log | 0.99 | 78 | 0.4271 | 0.9497 |
| No log | 1.99 | 157 | 0.3818 | 0.9485 |
| No log | 2.99 | 236 | 0.3428 | 0.9526 |
| No log | 3.99 | 315 | 0.3173 | 0.9527 |
| No log | 5.0 | 394 | 0.3344 | 0.9518 |
| No log | 6.0 | 473 | 0.3455 | 0.9536 |
| 0.0868 | 7.0 | 552 | 0.3598 | 0.9525 |
| 0.0868 | 8.0 | 631 | 0.3672 | 0.9543 |
| 0.0868 | 8.99 | 709 | 0.3574 | 0.9537 |
| 0.0868 | 9.99 | 788 | 0.3664 | 0.9505 |
| 0.0868 | 10.99 | 867 | 0.3750 | 0.9529 |
| 0.0868 | 11.99 | 946 | 0.3805 | 0.9538 |
| 0.054 | 13.0 | 1025 | 0.3885 | 0.9541 |
| 0.054 | 14.0 | 1104 | 0.3874 | 0.9525 |
| 0.054 | 14.83 | 1170 | 0.3891 | 0.9525 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2