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my_awesome_peft_finetuned_helsinki_model
Shomaiza/my_awesome_peft_finetuned_helsinki_model
my_awesome_peft_finetuned_helsinki_model is a machine learning model from Shomaiza. 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 peft. 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
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026
- SHA
- 58894c6f
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_awesome_peft_finetuned_helsinki_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2289
- Bleu: 44.6152
- Gen Len: 15.263
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3283 | 1.0 | 2500 | 1.2352 | 44.639 | 15.2615 |
| 1.3161 | 2.0 | 5000 | 1.2299 | 44.6971 | 15.2625 |
| 1.2958 | 3.0 | 7500 | 1.2289 | 44.6152 | 15.263 |
Framework versions
- PEFT 0.19.1.dev0
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026