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kozh_mbartLarge_50p_run1
yesj1234/kozh_mbartLarge_50p_run1
kozh_mbartLarge_50p_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
- Oct 31, 2023
- Updated
- Oct 31, 2023
- SHA
- 9fb08d46
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. -->
kozh_mbartLarge_50p_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: 1.2170
- Bleu: 14.9441
- Gen Len: 15.5114
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.4736 | 0.4 | 3000 | 1.4102 | 12.2951 | 15.3131 |
| 1.3408 | 0.8 | 6000 | 1.2932 | 13.0418 | 15.7409 |
| 1.0858 | 1.2 | 9000 | 1.2527 | 13.6922 | 15.432 |
| 1.0127 | 1.6 | 12000 | 1.2401 | 14.3889 | 15.5705 |
| 0.9717 | 2.0 | 15000 | 1.2170 | 14.8665 | 15.541 |
| 0.7866 | 2.39 | 18000 | 1.2569 | 14.4656 | 15.4235 |
| 0.7634 | 2.79 | 21000 | 1.2687 | 15.0137 | 15.3378 |
| 0.6205 | 3.19 | 24000 | 1.3149 | 14.6472 | 15.5406 |
| 0.5796 | 3.59 | 27000 | 1.3323 | 14.8879 | 15.3233 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Languages
- ko, zh
- Created
- Oct 31, 2023
- Updated
- Oct 31, 2023