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Qwen2.5-1.5B-Instruct-AraNews – AI Model by ezzaldeen | AlphaNeural AI
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Qwen2.5-1.5B-Instruct-AraNews
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peft
safetensors
llama-factory
lora
generated_from_trainer
zho
eng
fra
spa
por
deu
ita
rus
jpn
kor
vie
tha
ara
Abdelkareem/arabic-bbc-news
Qwen/Qwen2.5-1.5B-Instruct
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Qwen2.5-1.5B-Instruct-AraNews
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B-Instruct
on the arabic_news_sammary_train dataset.
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
