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qwen2.5-finetuned – AI Model by abdoosh1000 | AlphaNeural AI
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qwen2.5-finetuned
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peft
safetensors
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Qwen/Qwen2.5-0.5B
adapter
apache-2.0
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qwen2.5-finetuned
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B
on the None 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.7.1
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2
