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ko-en_mbartLarge_exp20p_batch
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: 1.2035
- Bleu: 27.8233
- Gen Len: 18.6226
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: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 2000
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0603 | 1.86 | 4000 | 1.1474 | 27.7215 | 18.8456 |
| 0.6774 | 3.71 | 8000 | 1.2035 | 27.8224 | 18.6267 |
| 0.4006 | 5.57 | 12000 | 1.4321 | 27.049 | 18.5618 |
| 0.2328 | 7.43 | 16000 | 1.7316 | 25.8623 | 18.4608 |
| 0.1369 | 9.28 | 20000 | 1.9367 | 25.6902 | 18.3337 |
| 0.1067 | 11.14 | 24000 | 2.0868 | 26.0105 | 18.4579 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
