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SG_X9e – AI Model by tzchen07 | AlphaNeural AI
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tzchen07
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SG_X9e
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transformers
safetensors
gemma2
text-generation
llama-factory
full
generated_from_trainer
conversational
jxm/shieldgemma-2b
finetune
other
text-generation-inference
endpoints_compatible
us
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sg_x9e
This model is a fine-tuned version of
jxm/shieldgemma-2b
on the v1.6, the v1.6b, the v1.6c, the v1.6d and the v1.6e datasets.
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: 5e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.10.0+cu129
Datasets 4.0.0
Tokenizers 0.22.2
