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gemma2b-samsum – AI Model by rajeshthallam | AlphaNeural AI
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rajeshthallam
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gemma2b-samsum
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
google/gemma-2b
adapter
gemma
us
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gemma2b-samsum
This model is a fine-tuned version of
google/gemma-2b
on the generator 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Framework versions
PEFT 0.7.2.dev0
Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2
