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This model was trained from scratch on the xtreme_s dataset. It achieves the following results on the evaluation set:
- Loss: 2.1356
- 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: 3e-05
- 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 |
|---|---|---|---|---|
| 2.6458 | 0.31 | 500 | 4.3754 | 0.0 |
| 2.3505 | 0.62 | 1000 | 4.3071 | 0.0 |
| 2.2152 | 0.93 | 1500 | 3.9444 | 0.0 |
| 2.79 | 1.23 | 2000 | 3.2046 | 0.0000 |
| 2.569 | 1.54 | 2500 | 2.6812 | 0.0000 |
| 2.322 | 1.85 | 3000 | 2.4081 | 0.0000 |
| 2.3435 | 2.16 | 3500 | 2.2696 | 0.0000 |
| 2.2063 | 2.47 | 4000 | 2.2452 | 0.0000 |
| 2.1087 | 2.78 | 4500 | 2.1356 | 0.0000 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 2.1.1.dev0
- Tokenizers 0.11.0
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