mt5-small-finetuned-en-to-ar-finetuned-en-to-ar-200k
This model is a fine-tuned version of lycanthropeus/mt5-small-finetuned-en-to-ar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9811
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2008 | 1.0 | 6250 | 2.2476 |
| 4.5614 | 2.0 | 12500 | 2.0560 |
| 4.2405 | 3.0 | 18750 | 1.9811 |
Framework versions
- Transformers 5.20.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.5
- Tokenizers 0.23.3