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NLQ_dataset – AI Model by vidyamdeveloper | AlphaNeural AI

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vidyamdeveloper/
NLQ_dataset

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nvidia/Llama-3.1-Nemotron-Nano-8B-v1

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NLQ_dataset

This model is a fine-tuned version of nvidia/Llama-3.1-Nemotron-Nano-8B-v1 on the generator 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-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1