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qwen2.5-math-metamath-gsm8k – AI Model by kceager | AlphaNeural AI
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qwen2.5-math-metamath-gsm8k
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-Math-1.5B-Instruct
adapter
apache-2.0
us
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qwen2.5-math-metamath-gsm8k
This model is a fine-tuned version of
Qwen/Qwen2.5-Math-1.5B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.0379
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-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.8759
0.9976
233
5.0379
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
