|
--- |
|
language: |
|
- ko |
|
- ja |
|
base_model: facebook/mbart-large-50-many-to-many-mmt |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: koja_reverse_13p_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. --> |
|
|
|
# koja_reverse_13p_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: 1.3532 |
|
- Bleu: 5.7574 |
|
- Gen Len: 20.4109 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
|
| 1.9693 | 0.42 | 800 | 1.5445 | 4.3096 | 20.2019 | |
|
| 1.4914 | 0.83 | 1600 | 1.4233 | 4.307 | 20.1204 | |
|
| 1.4272 | 1.25 | 2400 | 1.3761 | 4.8111 | 22.8555 | |
|
| 1.1571 | 1.66 | 3200 | 1.3532 | 5.7574 | 21.151 | |
|
| 1.0833 | 2.08 | 4000 | 1.3449 | 5.652 | 21.2158 | |
|
| 0.9394 | 2.49 | 4800 | 1.3905 | 5.45 | 19.9005 | |
|
| 0.8633 | 2.91 | 5600 | 1.3719 | 4.9973 | 19.7844 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
