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opus-mt-th-en-finetuned-en-to-th
Galucier/opus-mt-th-en-finetuned-en-to-th
opus-mt-th-en-finetuned-en-to-th is a machine learning model from Galucier. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- 3a8914b8
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. -->
opus-mt-th-en-finetuned-en-to-th
This model is a fine-tuned version of Helsinki-NLP/opus-mt-th-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7468
- Bleu: 0.4565
- Gen Len: 112.35
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6696 | 6.25 | 500 | 2.5634 | 0.1874 | 122.75 |
| 1.6018 | 12.5 | 1000 | 2.6129 | 0.4756 | 115.55 |
| 1.1813 | 18.75 | 1500 | 2.7468 | 0.4565 | 112.35 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024