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QWEN_SPEC_TEST – AI Model by Nemo30 | AlphaNeural AI
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QWEN_SPEC_TEST
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
apache-2.0
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QWEN_SPEC_TEST
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.2
Transformers 4.57.6
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.22.2
