Downloads · 30 days
3
1% of all-time downloads
mbart-mmt_mid1_ko-zh
yesj1234/mbart-mmt_mid1_ko-zh
mbart-mmt_mid1_ko-zh is a machine learning model from yesj1234. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
301
Public
Repo size
9.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin4.9 GB · 50%
At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023
- SHA
- cf76f917
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
ko-zh
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: 1.2511
- Bleu: 14.6038
- Gen Len: 15.5513
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: 4
- total_train_batch_size: 64
- 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: 1000
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3824 | 0.8 | 1500 | 1.3011 | 11.4445 | 15.774 |
| 1.0646 | 1.61 | 3000 | 1.1916 | 13.1811 | 15.6757 |
| 0.8071 | 2.41 | 4500 | 1.1864 | 14.1901 | 15.2832 |
| 0.6496 | 3.22 | 6000 | 1.1979 | 14.3496 | 15.5238 |
| 0.6365 | 4.02 | 7500 | 1.2511 | 14.6014 | 15.5634 |
| 0.4942 | 4.82 | 9000 | 1.2521 | 14.3411 | 15.4888 |
| 0.3632 | 5.63 | 10500 | 1.3326 | 14.204 | 15.4075 |
| 0.2601 | 6.43 | 12000 | 1.4028 | 14.1714 | 15.4783 |
| 0.1919 | 7.23 | 13500 | 1.4764 | 13.9406 | 15.4543 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Languages
- ko, zh
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023