mbartLarge_koja_mid2_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: 1.1251
- Bleu: 30.7351
- Gen Len: 18.1559
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.1823 | 1.0 | 11354 | 1.1695 | 29.4501 | 18.8118 |
| 0.9207 | 2.0 | 22708 | 1.1251 | 30.842 | 18.0892 |
| 0.7127 | 3.0 | 34062 | 1.1687 | 31.2642 | 18.1188 |
| 0.5406 | 4.0 | 45416 | 1.2619 | 30.9531 | 17.9958 |
| 0.4027 | 5.0 | 56770 | 1.3789 | 30.7923 | 18.0582 |
| 0.286 | 6.0 | 68124 | 1.4784 | 30.9393 | 18.1183 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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