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gemma-reasoning – AI Model by LahiruProjects | AlphaNeural AI
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gemma-reasoning
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
google/gemma-7b-it
adapter
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gemma-reasoning
This model is a fine-tuned version of
google/gemma-7b-it
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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
