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DSC25-qwen2.5-7b-finetuned-1-merged-2 – AI Model by htNghiaaa | AlphaNeural AI
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DSC25-qwen2.5-7b-finetuned-1-merged-2
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peft
safetensors
unsloth
generated_from_trainer
apache-2.0
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DSC25-qwen2.5-7b-finetuned-1-merged-2
This model is a fine-tuned version of
unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit
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: 0.0002
train_batch_size: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.2
Transformers 4.55.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
