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zhko_mbartLarge_50p_tokenize_run1
yesj1234/zhko_mbartLarge_50p_tokenize_run1
zhko_mbartLarge_50p_tokenize_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 2, 2023
- Updated
- Nov 2, 2023
- SHA
- 1748798a
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_50p_tokenize_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: 1.8482
- Bleu: 30.6847
- Gen Len: 14.6895
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: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.6487 | 1.0 | 2786 | 1.5519 | 26.5985 | 15.0925 |
| 1.1763 | 2.0 | 5572 | 1.4910 | 29.1024 | 14.8538 |
| 0.8697 | 3.0 | 8358 | 1.5510 | 29.5842 | 14.7611 |
| 0.6221 | 4.0 | 11144 | 1.6445 | 29.6959 | 14.7091 |
| 0.4444 | 5.0 | 13930 | 1.7176 | 29.6231 | 14.6204 |
| 0.3137 | 6.0 | 16716 | 1.7916 | 29.6666 | 14.524 |
| 0.2303 | 7.0 | 19502 | 1.8368 | 30.4697 | 14.5571 |
| 0.1888 | 8.0 | 22288 | 1.8482 | 30.6847 | 14.6895 |
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
- Nov 2, 2023
- Updated
- Nov 2, 2023