Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
simplifyd-gemma-bullet-sft-lora-checkpoint – AI Model by brico | AlphaNeural AI
You can deploy this model and start earning money today!
brico
/
simplifyd-gemma-bullet-sft-lora-checkpoint
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
google/gemma-2b-it
gemma
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
simplifyd-gemma-bullet-sft-lora-checkpoint
This model is a fine-tuned version of
google/gemma-2b-it
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.0
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
