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gemma2b-lora – AI Model by grustam | AlphaNeural AI

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grustam/
gemma2b-lora

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google/gemma-2b-it

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gemma2b-lora

This model is a fine-tuned version of google/gemma-2b-it on an unknown 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 0.5
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.14.0
Transformers 4.44.2
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1