yang29/ScaleBio_epoch-1_muon_gum_L20R128_lr-7e-6_Gemma-2-9B
08
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scalebio-allmuonunbiasedgalorelr-7e-6rank-128layers-20interval-20prob-mode-uniformmomentum-0.9epoch-1beta1-0.9beta2-0.999lr-sched-cosinemodel-gemma-2-9bbatch-size-32x1seed-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: 7e-06
- trainbatchsize: 32
- evalbatchsize: 8
- seed: 42
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: 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