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sft-qwen2.5-7b-qlora – AI Model by yungshun317 | AlphaNeural AI
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yungshun317
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sft-qwen2.5-7b-qlora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-7B-Instruct
apache-2.0
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sft-qwen2.5-7b-qlora
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: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_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: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
