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output – AI Model by hunsi | AlphaNeural AI

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hunsi/
output

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google/gemma-2b

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output

This model is a fine-tuned version of google/gemma-2b on the None 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: 0.0002
train_batch_size: 64
eval_batch_size: 8
seed: 42
distributed_type: tpu
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200

Training results

Framework versions

Transformers 4.41.1
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1