gemma3-4b-field-extraction

This model is a fine-tuned version of google/gemma-3-4b-it on the field_extraction_train dataset. It achieves the following results on the evaluation set:

• Loss: 0.1873

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: 0.0002
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.7081	1.0	14	0.4258
0.1982	2.0	28	0.2351
0.0935	3.0	42	0.2017
0.0526	4.0	56	0.1896
0.0398	5.0	70	0.1873

Framework versions

• PEFT 0.15.2
• Transformers 4.52.4
• Pytorch 2.10.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.1