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llama3-sudo-dpo-instruct-100epochs-jxkey – AI Model by QinLiuNLP | AlphaNeural AI

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QinLiuNLP/
llama3-sudo-dpo-instruct-100epochs-jxkey

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meta-llama/Meta-Llama-3-8B-Instruct

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llama3-sudo-dpo-instruct-100epochs-jxkey

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-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: 5e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 100

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1