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gemma_2_9b_Qdora_purpose_train – AI Model by slavamarcin | AlphaNeural AI

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slavamarcin/
gemma_2_9b_Qdora_purpose_train

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google/gemma-2-9b

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gemma_2_9b_Qdora_purpose_train

This model is a fine-tuned version of google/gemma-2-9b 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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

PEFT 0.11.2.dev0
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1