metadata
language:
- ja
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: finetuned_model
results: []
finetuned_model
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: 0.6568
- Bleu: 58.837
- Gen Len: 15.7689
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 |
|---|---|---|---|---|---|
| 0.7629 | 1.0 | 43024 | 0.7231 | 54.9608 | 16.1273 |
| 0.6355 | 2.0 | 86048 | 0.6641 | 57.5735 | 15.9938 |
| 0.5464 | 3.0 | 129072 | 0.6568 | 58.837 | 15.7689 |
| 0.4444 | 4.0 | 172096 | 0.6777 | 59.3055 | 15.7545 |
| 0.3458 | 5.0 | 215120 | 0.7215 | 59.1341 | 15.7016 |
| 0.2702 | 6.0 | 258144 | 0.8013 | 59.0721 | 15.6936 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0