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ko-en_mbartLarge_exp20p_batch64_linear
yesj1234/ko-en_mbartLarge_exp20p_batch64_linear
ko-en_mbartLarge_exp20p_batch64_linear 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 23, 2023
- Updated
- Oct 23, 2023
- SHA
- ea7629a1
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-en_mbartLarge_exp20p_batch64_linear
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: 1.2042
- Bleu: 27.8215
- Gen Len: 18.6731
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: 2000
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0585 | 1.86 | 4000 | 1.1435 | 27.494 | 18.9136 |
| 0.6719 | 3.71 | 8000 | 1.2042 | 27.8203 | 18.6815 |
| 0.3964 | 5.57 | 12000 | 1.4261 | 27.1711 | 18.5184 |
| 0.2282 | 7.43 | 16000 | 1.7275 | 26.1891 | 18.5479 |
| 0.1338 | 9.28 | 20000 | 1.9251 | 26.1533 | 18.505 |
| 0.1033 | 11.14 | 24000 | 2.0758 | 26.0643 | 18.4275 |
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, en
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023