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mbart-mmt_mid3_en-ko
yesj1234/mbart-mmt_mid3_en-ko
mbart-mmt_mid3_en-ko 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 17, 2023
- Updated
- Oct 17, 2023
- SHA
- aed8164a
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. -->
mbartLarge_mid_en-ko1
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: 1.4106
- Bleu: 13.2758
- Gen Len: 16.235
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: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.5855 | 1.12 | 1500 | 1.5215 | 11.5186 | 16.204 |
| 1.4287 | 2.24 | 3000 | 1.4549 | 12.2855 | 16.1497 |
| 1.2937 | 3.37 | 4500 | 1.4250 | 12.6484 | 16.2152 |
| 1.2444 | 4.49 | 6000 | 1.4165 | 13.0063 | 16.0749 |
| 1.1335 | 5.61 | 7500 | 1.4106 | 13.2758 | 16.235 |
| 1.0508 | 6.73 | 9000 | 1.4243 | 13.0601 | 15.86 |
| 0.9462 | 7.86 | 10500 | 1.4497 | 13.0828 | 16.0475 |
| 0.8464 | 8.98 | 12000 | 1.4692 | 13.5878 | 15.9308 |
| 0.6995 | 10.1 | 13500 | 1.5572 | 13.1085 | 15.9906 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Languages
- en, ko
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023