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VietAI-NLP-ITN
datnth1709/VietAI-NLP-ITN
VietAI-NLP-ITN is a translation model from datnth1709. Use it when you need text moved from one language to another. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Translation
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Sep 22, 2022
- Updated
- Sep 23, 2022
- SHA
- 81d1dd5e
Try a prompt
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. -->
VietAI-NLP-ITN
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4378
- Bleu: 81.8571
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.6529 | 1.0 | 31250 | 0.5660 | 78.7315 |
| 0.5125 | 2.0 | 62500 | 0.4770 | 81.3979 |
| 0.4798 | 3.0 | 93750 | 0.4554 | 81.6720 |
| 0.4568 | 4.0 | 125000 | 0.4435 | 81.7753 |
| 0.4387 | 5.0 | 156250 | 0.4378 | 81.8571 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Translation
- Library
- transformers
- Type
- encoder-decoder
- Created
- Sep 22, 2022
- Updated
- Sep 23, 2022