Llama-3.1-8B-paraphrase-type-generation-etpc-apty-reward – AI Model by cluebbers | AlphaNeural AI

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Llama-3.1-8B-paraphrase-type-generation-etpc-apty-reward

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meta-llama/Llama-3.1-8B

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Llama-3.1-8B-paraphrase-type-generation-etpc-apty-reward

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7851
Accuracy: 0.4925

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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	34	0.7886	0.4925
No log	2.0	68	0.7860	0.4925
No log	3.0	102	0.7851	0.4925

Framework versions

PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.4.1
Datasets 3.0.1
Tokenizers 0.20.0

Citation

Cite this model:

bibtex

@misc{lübbers2025enhancingparaphrasetypegeneration,
      title={Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data}, 
      author={Christopher Lee Lübbers},
      year={2025},
      eprint={2506.02018},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.02018}, 
}
`