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uf-l31-orpo-base-armo-iter1 – AI Model by iopo-exp | AlphaNeural AI

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iopo-exp/
uf-l31-orpo-base-armo-iter1

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alignment-handbook

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ORPO/uf-l31-base-iter0-armo

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

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uf-l31-orpo-base-armo-iter1

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the ORPO/uf-l31-base-iter0-armo 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_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: 1

Training results

Framework versions

Transformers 4.44.0
Pytorch 2.2.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1