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enko_mbartLarge_100p_run1
yesj1234/enko_mbartLarge_100p_run1
enko_mbartLarge_100p_run1 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
- Nov 24, 2023
- Updated
- Nov 24, 2023
- SHA
- d9143aa3
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. -->
enko_mbartLarge_100p_run1
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: 0.7787
- Bleu: 51.8273
- Gen Len: 15.0439
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: 2
- total_train_batch_size: 16
- 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: 2500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.8286 | 1.0 | 64061 | 0.8097 | 50.2043 | 15.0703 |
| 0.6429 | 2.0 | 128123 | 0.7787 | 51.8273 | 15.0439 |
| 0.517 | 3.0 | 192184 | 0.8042 | 52.0502 | 14.9976 |
| 0.415 | 4.0 | 256246 | 0.8554 | 52.0616 | 15.0215 |
| 0.3348 | 5.0 | 320307 | 0.9135 | 51.995 | 14.9859 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mbart
- Languages
- en, ko
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023