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mbart-mmt_mid1_ko-ja
yesj1234/mbart-mmt_mid1_ko-ja
mbart-mmt_mid1_ko-ja 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 16, 2023
- Updated
- Oct 16, 2023
- SHA
- 0f9baf7d
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-output
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: 0.8761
- Bleu: 11.9991
- Gen Len: 17.5742
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 35
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.014 | 0.91 | 1500 | 0.9561 | 5.9697 | 18.2307 |
| 0.7888 | 1.82 | 3000 | 0.8761 | 10.9388 | 17.4752 |
| 0.6166 | 2.73 | 4500 | 0.8778 | 11.0165 | 17.1855 |
| 0.474 | 3.64 | 6000 | 0.9008 | 11.8779 | 17.1838 |
| 0.3559 | 4.55 | 7500 | 0.9504 | 12.6024 | 17.3179 |
| 0.2588 | 5.47 | 9000 | 0.9978 | 13.4321 | 17.1999 |
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, ja
- Created
- Oct 16, 2023
- Updated
- Oct 16, 2023