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football-rebuttal-model-gemma-2b-qlora-v3 – AI Model by TripleH | AlphaNeural AI
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TripleH
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football-rebuttal-model-gemma-2b-qlora-v3
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peft
safetensors
generated_from_trainer
google/gemma-2b-it
adapter
gemma
us
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football-rebuttal-model-gemma-2b-qlora-v3
This model is a fine-tuned version of
google/gemma-2b-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: 2e-05
train_batch_size: 1
eval_batch_size: 1
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_steps: 100
num_epochs: 10
Training results
Framework versions
PEFT 0.15.2
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
