my_awesome_model
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: 0.0131
- Bleu: 97.9438
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 | 1.0 | 50 | 4.6250 | 52.3906 |
| No log | 2.0 | 100 | 0.5771 | 66.2019 |
| No log | 3.0 | 150 | 0.1341 | 77.5175 |
| No log | 4.0 | 200 | 0.0740 | 87.7725 |
| No log | 5.0 | 250 | 0.0518 | 90.5727 |
| No log | 6.0 | 300 | 0.0372 | 92.5823 |
| No log | 7.0 | 350 | 0.0298 | 94.3032 |
| No log | 8.0 | 400 | 0.0252 | 95.3759 |
| No log | 9.0 | 450 | 0.0218 | 96.2749 |
| 1.3109 | 10.0 | 500 | 0.0191 | 96.4118 |
| 1.3109 | 11.0 | 550 | 0.0166 | 97.1165 |
| 1.3109 | 12.0 | 600 | 0.0149 | 98.0447 |
| 1.3109 | 13.0 | 650 | 0.0139 | 97.8950 |
| 1.3109 | 14.0 | 700 | 0.0134 | 97.8386 |
| 1.3109 | 15.0 | 750 | 0.0131 | 97.9438 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
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Model tree for Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation
Base model
PRAli22/arat5-arabic-dialects-translation