yang29/ScaleBio_epoch-1_muon_gum_L20R128_lr-1e-5_Gemma-2-9B

scalebio-all_muon_unbiased_galore_lr-1e-5_rank-128_layers-20_interval-20_prob-mode-uniform_momentum-0.9_epoch-1_beta1-0.9_beta2-0.999_lr-sched-cosine_model-gemma-2-9b_batch-size-32x1_seed-42

This model is a fine-tuned version of google/gemma-2-9b on the customized 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: 1e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• 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: 1.0

Training results

Framework versions

• Transformers 4.50.0
• Pytorch 2.8.0+cu128
• Datasets 4.5.0
• Tokenizers 0.21.4