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qwen_finetuned_arabic_islamic – AI Model by Walid2025 | AlphaNeural AI
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qwen_finetuned_arabic_islamic
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transformers
tensorboard
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2.5-3B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen_finetuned_arabic_islamic
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3701
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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_steps: 50
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
1.4649
1.0
300
1.3701
0.8618
2.0
600
1.4686
0.6471
3.0
900
1.5973
Framework versions
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
