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gemma-context-aware-summarization_4_19_2025 – AI Model by shekharashishraj | AlphaNeural AI
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shekharashishraj
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gemma-context-aware-summarization_4_19_2025
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
google/gemma-3-1b-pt
adapter
gemma
us
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gemma-context-aware-summarization_4_19_2025
This model is a fine-tuned version of
google/gemma-3-1b-pt
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
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Framework versions
PEFT 0.14.0
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.1
