This model was trained from scratch on the xtreme_s dataset. It achieves the following results on the evaluation set:
- Loss: 1.7768
- Bleu: 0.0000
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.5511 | 0.31 | 500 | 5.1039 | 0.0 |
| 2.2033 | 0.62 | 1000 | 4.1782 | 0.0000 |
| 1.4703 | 0.93 | 1500 | 2.8979 | 0.0000 |
| 1.6507 | 1.23 | 2000 | 2.2250 | 0.0000 |
| 1.6791 | 1.54 | 2500 | 2.0530 | 0.0000 |
| 1.4587 | 1.85 | 3000 | 1.9121 | 0.0000 |
| 1.288 | 2.16 | 3500 | 1.8705 | 0.0000 |
| 1.2244 | 2.47 | 4000 | 1.7940 | 0.0000 |
| 1.0364 | 2.78 | 4500 | 1.7768 | 0.0000 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 2.1.1.dev0
- Tokenizers 0.11.0