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q_lora_on_qwen2.5_14b – AI Model by SUNRISEEVERYDAY | AlphaNeural AI
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SUNRISEEVERYDAY
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q_lora_on_qwen2.5_14b
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-14B
adapter
apache-2.0
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q_lora_on_qwen2.5_14b
This model is a fine-tuned version of
Qwen/Qwen2.5-14B
on an unknown 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: 5e-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 15
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.7.1
Transformers 4.48.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
