metadata
language:
- en
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: enko_mbartLarge_100p_run1
results: []
enko_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: 0.7787
- Bleu: 51.8273
- Gen Len: 15.0439
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 |
|---|---|---|---|---|---|
| 0.8286 | 1.0 | 64061 | 0.8097 | 50.2043 | 15.0703 |
| 0.6429 | 2.0 | 128123 | 0.7787 | 51.8273 | 15.0439 |
| 0.517 | 3.0 | 192184 | 0.8042 | 52.0502 | 14.9976 |
| 0.415 | 4.0 | 256246 | 0.8554 | 52.0616 | 15.0215 |
| 0.3348 | 5.0 | 320307 | 0.9135 | 51.995 | 14.9859 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0