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opus-mt-en-ar-finetuned-en-to-ar
ninja/opus-mt-en-ar-finetuned-en-to-ar
opus-mt-en-ar-finetuned-en-to-ar is a machine learning model from ninja. 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
- Oct 5, 2023
- Updated
- Oct 16, 2023
- SHA
- 62572ecc
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-ar-finetuned-en-to-ar
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3845
- Bleu: 10.5436
- Gen Len: 24.5802
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|
| 2.6662 | 1.0 | 26718 | 2.5506 | 9.195 | 30.2454 |
| 2.4624 | 2.0 | 53436 | 2.4236 | 9.7626 | 25.7695 |
| 2.3456 | 3.0 | 80154 | 2.3845 | 10.5436 | 24.5802 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Oct 5, 2023
- Updated
- Oct 16, 2023