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dpo_run_finllama – AI Model by sert121 | AlphaNeural AI

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dpo_run_finllama

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dpo_run_finllama

This model is a fine-tuned version of instruction-pretrain/finance-Llama3-8B 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: 8e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 150
num_epochs: 3.0

Training results

Framework versions

PEFT 0.10.0
Transformers 4.42.0
Pytorch 2.4.0+cu121
Datasets 2.15.0
Tokenizers 0.19.1