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loraretriever-math-lora – AI Model by Inishds | AlphaNeural AI
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loraretriever-math-lora
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peft
safetensors
generated_from_trainer
hf-internal-testing/tiny-random-LlamaForCausalLM
adapter
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loraretriever-math-lora
This model is a fine-tuned version of
hf-internal-testing/tiny-random-LlamaForCausalLM
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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Use 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: 0.04
training_steps: 2
Training results
Framework versions
PEFT 0.14.0
Transformers 4.46.1
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
