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mbart-mmt_5p3_ko-zh
yesj1234/mbart-mmt_5p3_ko-zh
mbart-mmt_5p3_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. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Oct 5, 2023
- Updated
- Oct 5, 2023
- SHA
- 9804c52b
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. -->
tst-translation-output5
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: 1.3149
- Bleu: 12.1284
- Gen Len: 15.2902
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: 1500
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3822 | 0.86 | 2000 | 1.3693 | 8.4562 | 15.8491 |
| 1.0081 | 1.71 | 4000 | 1.2806 | 11.3956 | 15.239 |
| 0.7007 | 2.57 | 6000 | 1.3149 | 12.0444 | 15.34 |
| 0.4483 | 3.43 | 8000 | 1.4177 | 11.5647 | 15.2139 |
| 0.2837 | 4.29 | 10000 | 1.5126 | 11.1306 | 15.2984 |
| 0.2276 | 5.14 | 12000 | 1.5938 | 11.1467 | 15.2992 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
- Library
- transformers
- Type
- mbart
- Languages
- ko, zh
- Created
- Oct 5, 2023
- Updated
- Oct 5, 2023