gemma_3_1b_causal_finetune_lora – AI Model by jacob-danner | AlphaNeural AI

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jacob-danner/
gemma_3_1b_causal_finetune_lora

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google/gemma-3-1b-pt

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gemma_3_1b_causal_finetune_lora

This model is a fine-tuned version of google/gemma-3-1b-pt on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5270

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: 6.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
1.6969	1.0	12	0.9517
0.7666	2.0	24	0.6638
0.5743	3.0	36	0.5845
0.4948	4.0	48	0.5431
0.436	5.0	60	0.5176
0.4011	6.0	72	0.5075
0.3743	7.0	84	0.5028
0.3507	8.0	96	0.5099
0.3313	9.0	108	0.5267
0.3121	10.0	120	0.5270

Framework versions

PEFT 0.15.2.dev0
Transformers 4.51.0.dev0
Pytorch 2.6.0
Datasets 3.4.0
Tokenizers 0.21.1