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unsloth-gemma-glaive-function-calling – AI Model by torwayfarer | AlphaNeural AI
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torwayfarer
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unsloth-gemma-glaive-function-calling
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peft
safetensors
unsloth
trl
sft
generated_from_trainer
unsloth/Qwen2.5-1.5B-Instruct
adapter
apache-2.0
us
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unsloth-gemma-glaive-function-calling
This model is a fine-tuned version of
unsloth/Qwen2.5-1.5B-Instruct
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: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use adamw_8bit 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: 5
training_steps: 60
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.20.3
