This model is a fine-tuned version of google/gemma-3-12b-it on the physreason_modeling_sloving_train dataset. It achieves the following results on the evaluation set:

Loss: 0.4252

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: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 2
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: 0.1
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0370	4.0	132	0.4252

Framework versions

Transformers 5.5.4
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

AsherYang/lf__gemma-3-12b-it__full__physreason_modeling_sloving_sft

physreason_modeling_sloving_sft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AsherYang/
lfgemma-3-12b-itfull__physreason_modeling_sloving_sft