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Llama-3.1-8B-Instruct_sft_sg_values – AI Model by Incomple | AlphaNeural AI

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Llama-3.1-8B-Instruct_sft_sg_values

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meta-llama/Llama-3.1-8B-Instruct

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Llama-3.1-8B-Instruct_sft_sg_values

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the sft_sg_values 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: 1e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.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_ratio: 0.1
num_epochs: 1.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0