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zhko_mbartLarge_19p_run2
yesj1234/zhko_mbartLarge_19p_run2
zhko_mbartLarge_19p_run2 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 31, 2023
- Updated
- Oct 31, 2023
- SHA
- 4b24c0ae
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_19p_run2
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: 1.4800
- Bleu: 16.4426
- Gen Len: 14.8195
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: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.6564 | 0.9 | 2500 | 1.5828 | 14.0512 | 15.1829 |
| 1.1837 | 1.79 | 5000 | 1.4800 | 16.4426 | 14.826 |
| 0.8715 | 2.69 | 7500 | 1.4947 | 16.7298 | 14.6211 |
| 0.6403 | 3.59 | 10000 | 1.5886 | 16.9459 | 14.6253 |
| 0.4763 | 4.49 | 12500 | 1.6680 | 17.285 | 14.6948 |
| 0.3526 | 5.38 | 15000 | 1.7372 | 17.4396 | 14.8157 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Languages
- zh, ko
- Created
- Oct 31, 2023
- Updated
- Oct 31, 2023