enko_mbartLarge_100p_sup2
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6417
- Bleu: 59.1835
- Gen Len: 15.7226
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7676 | 1.0 | 43024 | 0.7125 | 55.2526 | 16.382 |
| 0.6349 | 2.0 | 86048 | 0.6547 | 58.202 | 15.9466 |
| 0.537 | 3.0 | 129072 | 0.6417 | 59.1835 | 15.7226 |
| 0.434 | 4.0 | 172096 | 0.6589 | 59.6194 | 15.702 |
| 0.3504 | 5.0 | 215120 | 0.7117 | 59.352 | 15.7454 |
| 0.2799 | 6.0 | 258144 | 0.7784 | 59.2034 | 15.6702 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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