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Qwen2-0.5B-GRPO-test – AI Model by jannikbrinkmann | AlphaNeural AI
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Qwen2-0.5B-GRPO-test
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peft
safetensors
trl
grpo
generated_from_trainer
Qwen/Qwen2-0.5B-Instruct
adapter
apache-2.0
us
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Qwen2-0.5B-GRPO-test
This model is a fine-tuned version of
Qwen/Qwen2-0.5B-Instruct
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
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
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
