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smollm-openo1-lora – AI Model by Hartlehar | AlphaNeural AI
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Hartlehar
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smollm-openo1-lora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
HuggingFaceTB/SmolLM2-1.7B-Instruct
apache-2.0
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smollm-openo1-lora
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-1.7B-Instruct
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: 0.001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch_fused 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: 10
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu126
Datasets 4.6.1
Tokenizers 0.22.2
