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llama3.1-8b-instruct-sfsdpo – AI Model by NhatHoang2002 | AlphaNeural AI

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NhatHoang2002/
llama3.1-8b-instruct-sfsdpo

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text-generation

alignment-handbook

generated_from_trainer

vda1708/Math-Self-Fix-8K

NhatHoang2002/llama3.1-8b-instruct-sfsdpo

text-generation-inference

endpoints_compatible

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llama3.1-8b-instruct-sfsdpo

This model is a fine-tuned version of NhatHoang2002/llama3.1-8b-instruct-sfsdpo on the vda1708/Math-Self-Fix-8K 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-07
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8.0

Training results

Framework versions

Transformers 4.45.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.20.3