metadata
language:
- ko
- zh
base_model: ./zh_reduced_model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart_cycle0_ko-zh
results: []
mbart_cycle0_ko-zh
This model is a fine-tuned version of mbart-large-cc25 on an custom dataset. It achieves the following results on the evaluation set:
- Loss: 6.3117
- Bleu: 19.1703
- Gen Len: 14.3881
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
- total_train_batch_size: 16
- 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: 300
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 8.82 | 300 | 5.4963 | 0.2892 | 127.2388 |
| 8.4505 | 17.65 | 600 | 5.6784 | 18.0955 | 12.7761 |
| 8.4505 | 26.47 | 900 | 5.9406 | 19.7871 | 13.6119 |
| 0.4947 | 35.29 | 1200 | 6.2203 | 16.6303 | 13.209 |
| 0.0447 | 44.12 | 1500 | 6.2942 | 19.9934 | 14.0448 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3