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gemma3-1b-ara-v2 – AI Model by giseldo | AlphaNeural AI
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giseldo
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gemma3-1b-ara-v2
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transformers
safetensors
gemma3_text
text-generation
generated_from_trainer
conversational
pt
giseldo/neo_ara_v3
google/gemma-3-1b-it
finetune
gemma
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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results_gemma2
This model is a fine-tuned version of
google/gemma-3-1b-it
on the None 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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
