library_name, tags, model-index

library_name	tags	model-index
transformers	generated_from_trainer	name results mem_Qwen3-34M_minerva_math_rep_100_sbst_1.0000_epch_1_ot_1

mem_Qwen3-34M_minerva_math_rep_100_sbst_1.0000_epch_1_ot_1

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: 0.0008341954207498384
• train_batch_size: 68
• eval_batch_size: 68
• seed: 0
• distributed_type: multi-GPU
• gradient_accumulation_steps: 5
• total_train_batch_size: 340
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 1

Training results

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.1+cu128
• Datasets 4.4.1
• Tokenizers 0.22.1