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customized-ar-translator_1.5B_d2
mohammedkhas/customized-ar-translator_1.5B_d2
customized-ar-translator_1.5B_d2 is a text generation model from mohammedkhas. Use it when you need the model to write or continue text. 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
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 31, 2025
- Updated
- Jan 3, 2026
- SHA
- 28462386
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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. -->
customized-ar-translator_1.5B_d2
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the trans_finetune_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.6919
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8249 | 0.8889 | 50 | 0.7959 |
| 0.6756 | 1.7644 | 100 | 0.7091 |
| 0.5921 | 2.64 | 150 | 0.6926 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Dec 31, 2025
- Updated
- Jan 3, 2026