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Llama-3.2-1B-Instruct_MetaMathQA-40K_random – AI Model by jahyungu | AlphaNeural AI
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Llama-3.2-1B-Instruct_MetaMathQA-40K_random
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-3.2-1B-Instruct
finetune
llama3.2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Llama-3.2-1B-Instruct_MetaMathQA-40K_random
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use 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: 200
num_epochs: 3
Training results
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
