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cmv_hard_gemma3-12b-it_full_sft – AI Model by simonycl | AlphaNeural AI
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cmv_hard_gemma3-12b-it_full_sft
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transformers
safetensors
gemma3
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
google/gemma-3-12b-it
finetune
other
text-generation-inference
endpoints_compatible
us
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sft
This model is a fine-tuned version of
google/gemma-3-12b-it
on the cmv-gemma-3-27b-it 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 32
total_train_batch_size: 64
total_eval_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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1.0
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
