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---
language:
- ja
- ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: jako_13p_tokenie_run1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# jako_13p_tokenie_run1
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3560
- Bleu: 50.2114
- Gen Len: 18.2159
## 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.2125 | 0.83 | 1600 | 1.1356 | 44.2732 | 18.9394 |
| 0.8519 | 1.66 | 3200 | 1.0618 | 47.1622 | 18.3936 |
| 0.6394 | 2.49 | 4800 | 1.0923 | 47.7818 | 18.3397 |
| 0.532 | 3.32 | 6400 | 1.1294 | 48.4283 | 18.3375 |
| 0.3543 | 4.15 | 8000 | 1.1765 | 47.7916 | 18.4422 |
| 0.2569 | 4.99 | 9600 | 1.2103 | 48.1268 | 18.5385 |
| 0.1732 | 5.82 | 11200 | 1.2549 | 48.9329 | 18.2085 |
| 0.1228 | 6.65 | 12800 | 1.3022 | 49.0248 | 18.2133 |
| 0.0937 | 7.48 | 14400 | 1.3179 | 49.3503 | 18.1673 |
| 0.0627 | 8.31 | 16000 | 1.3409 | 49.5551 | 18.2672 |
| 0.0558 | 9.14 | 17600 | 1.3545 | 49.7808 | 18.2815 |
| 0.0442 | 9.97 | 19200 | 1.3560 | 50.2114 | 18.2159 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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