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my_opus_books_model
Indeajudicil/my_opus_books_model
my_opus_books_model is a machine learning model from Indeajudicil. 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- marian
- Access
- Public
- Created
- Aug 12, 2025
- Updated
- Aug 12, 2025
- SHA
- e25f47ab
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. -->
my_opus_books_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4462
- Bleu: 0.0
- Gen Len: 19.62
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 4.2665 | 1.0 | 250 | 4.4474 | 0.0 | 21.696 |
| 3.9463 | 2.0 | 500 | 4.4139 | 0.0 | 19.404 |
| 3.628 | 3.0 | 750 | 4.4265 | 0.0 | 21.008 |
| 4.0016 | 4.0 | 1000 | 4.4462 | 0.0 | 19.62 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- marian
- License
- cc-by-4.0
- Created
- Aug 12, 2025
- Updated
- Aug 12, 2025