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zhko_mbartLarge_100p_run1
yesj1234/zhko_mbartLarge_100p_run1
zhko_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
- Dec 3, 2023
- Updated
- Dec 3, 2023
- SHA
- e49ad001
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. -->
zhko_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: 0.8988
- Bleu: 42.7907
- Gen Len: 13.7941
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_ratio: 0.01
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.9719 | 1.0 | 70919 | 0.9435 | 40.8492 | 13.8028 |
| 0.7537 | 2.0 | 141839 | 0.8988 | 42.7907 | 13.7941 |
| 0.5973 | 3.0 | 212758 | 0.9143 | 43.4697 | 13.6556 |
| 0.4873 | 4.0 | 283678 | 0.9758 | 43.6153 | 13.6544 |
| 0.388 | 5.0 | 354597 | 1.0400 | 43.3763 | 13.6067 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mbart
- Languages
- zh, ko
- Created
- Dec 3, 2023
- Updated
- Dec 3, 2023