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gemma-2b-dolly-qa – AI Model by hinadome | AlphaNeural AI

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hinadome/
gemma-2b-dolly-qa

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google/gemma-2b

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gemma-2b-dolly-qa

This model is a fine-tuned version of google/gemma-2b 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: 4
total_train_batch_size: 4
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
lr_scheduler_warmup_ratio: 0.05
training_steps: 1186

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cxx11.abi
Datasets 3.3.2
Tokenizers 0.21.0