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AG-Gemma-7B – AI Model by ArchSid | AlphaNeural AI

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ArchSid/
AG-Gemma-7B

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google/gemma-7b-it

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Model description

This model is a fine-tuned version of google/gemma-7b-it utilizing the AG prompt for Quality Estimation.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2