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Qwen2.5-0.5B_muon_v2_simple – AI Model by Neira | AlphaNeural AI

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Neira/
Qwen2.5-0.5B_muon_v2_simple

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text-generation

generated_from_trainer

Qwen/Qwen2.5-0.5B

text-generation-inference

endpoints_compatible

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Qwen2.5-0.5B_muon_v2_simple

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B 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: 5e-05
train_batch_size: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Muon
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.01
num_epochs: 1.0

Training results

Framework versions

Transformers 5.5.4
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2