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Qwen_Qwen2.5-7B_qa_full_upsample1000 – AI Model by YWZBrandon | AlphaNeural AI
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Qwen_Qwen2.5-7B_qa_full_upsample1000
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-7B
adapter
apache-2.0
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Qwen_Qwen2.5-7B_full_upsample1000
This model is a fine-tuned version of
Qwen/Qwen2.5-7B
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: 0.0002
train_batch_size: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 256
total_eval_batch_size: 64
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: 1.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
