koja_mbartLarge_100p_run1
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: 0.7124
- Bleu: 62.6678
- Gen Len: 15.9791
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 |
|---|---|---|---|---|---|
| 0.7524 | 1.0 | 53653 | 0.7367 | 61.7136 | 16.1701 |
| 0.5894 | 2.0 | 107306 | 0.7124 | 62.6678 | 15.9791 |
| 0.4772 | 3.0 | 160959 | 0.7384 | 62.9343 | 15.9495 |
| 0.3847 | 4.0 | 214612 | 0.7871 | 62.7581 | 15.9656 |
| 0.3031 | 5.0 | 268265 | 0.8461 | 62.5608 | 15.8973 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
facebook/mbart-large-50-many-to-many-mmt