mem_Qwen3-344M_minerva_math_rep_3_sbst_1.0000_epch_1_ot_8

This model is a fine-tuned version of 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: 0.0014895187142161055
• train_batch_size: 40
• eval_batch_size: 40
• seed: 0
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 14
• total_train_batch_size: 1120
• total_eval_batch_size: 80
• 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: cosine
• lr_scheduler_warmup_steps: 250
• num_epochs: 1

Training results

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.0