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Qwen_mix_high_low_0.25_7B – AI Model by trackld | AlphaNeural AI

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trackld/
Qwen_mix_high_low_0.25_7B

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text-generation

generated_from_trainer

Qwen/Qwen2.5-Math-7B

text-generation-inference

endpoints_compatible

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Qwen_mix_high_low_0.25_7B

This model is a fine-tuned version of Qwen/Qwen2.5-Math-7B on the math12K_high_low_mixed_0.25 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: 1.25e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 5.0

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.21.1