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LWC_qwen_Lora_model – AI Model by Hariprasath28 | AlphaNeural AI
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Hariprasath28
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LWC_qwen_Lora_model
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
other
us
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qwen_output_readme
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the readme_formatted_data 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-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 200
num_epochs: 5.0
Training results
Framework versions
PEFT 0.15.0
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
