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mbart50-ft-si-en
This model was trained from scratch on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0476
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.98 | 30 | 5.6367 |
| No log | 1.98 | 60 | 4.1221 |
| No log | 2.98 | 90 | 3.1880 |
| No log | 3.98 | 120 | 3.1175 |
| No log | 4.98 | 150 | 3.3575 |
| No log | 5.98 | 180 | 3.7855 |
| No log | 6.98 | 210 | 4.3530 |
| No log | 7.98 | 240 | 4.7216 |
| No log | 8.98 | 270 | 4.9202 |
| No log | 9.98 | 300 | 5.0476 |
Framework versions
- Transformers 4.9.2
- Pytorch 1.6.0
- Datasets 1.11.0
- Tokenizers 0.10.3
