fine_tuned_gemma_lora_first_level5

KirubaLS/fine_tuned_gemma_lora_first_level5

fine_tuned_gemma_lora_first_level5 is a machine learning model from KirubaLS. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: gemma
Access: Public
Created: Jun 18, 2025
Updated: Jun 18, 2025
SHA: 5bb19b2c

Base models

google/gemma-2b

Model card

From the Hugging Face model README

fine_tuned_gemma_lora_first_level5

This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2679

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: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.0108	1.0	32	2.3360
1.5911	2.0	64	2.2869
1.4418	3.0	96	2.2329
1.3445	4.0	128	2.2402
1.3256	5.0	160	2.2679

Framework versions

PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

Library: peft
License: gemma
Created: Jun 18, 2025
Updated: Jun 18, 2025