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gemma3-ff-frakenstein – AI Model by kaamd | AlphaNeural AI
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gemma3-ff-frakenstein
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transformers
tensorboard
safetensors
gemma3
image-text-to-text
generated_from_trainer
conversational
text-generation-inference
endpoints_compatible
us
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v1-20250525-165028
This model was trained from scratch 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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1.0
Training results
Framework versions
Transformers 4.52.3
Pytorch 2.7.0+cu126
Datasets 3.3.2
Tokenizers 0.21.1
