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opus-mt-en-ro-finetuned-en-to-ro
likhith231/opus-mt-en-ro-finetuned-en-to-ro
opus-mt-en-ro-finetuned-en-to-ro is a machine learning model from likhith231. 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
- Feb 17, 2024
- Updated
- Feb 17, 2024
- SHA
- b561b306
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-en-ro-finetuned-en-to-ro
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4095
- Bleu: 26.3441
- Gen Len: 34.093
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 313 | 0.4031 | 26.665 | 33.886 |
| 0.1065 | 2.0 | 626 | 0.4074 | 26.3571 | 34.178 |
| 0.1065 | 3.0 | 939 | 0.4095 | 26.3441 | 34.093 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Feb 17, 2024
- Updated
- Feb 17, 2024