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vlsp_vi-lo-mta
sophiebui/vlsp_vi-lo-mta
vlsp_vi-lo-mta is a machine learning model from sophiebui. 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
- m2m_100
- Access
- Public
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023
- SHA
- 754dc267
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. -->
vlsp_vi-lo-mta
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2583
- Bleu: 61.0047
- Gen Len: 28.918
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.8672 | 1.0 | 6250 | 1.3413 | 34.6744 | 28.9555 |
| 0.6374 | 2.0 | 12500 | 1.2753 | 44.44 | 28.8965 |
| 0.482 | 3.0 | 18750 | 1.2441 | 53.6572 | 28.9055 |
| 0.3779 | 4.0 | 25000 | 1.2583 | 61.0047 | 28.918 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- m2m_100
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023