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Llama-3.1-8B-Instruct_holistic_50 – AI Model by Incomple | AlphaNeural AI
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Incomple
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Llama-3.1-8B-Instruct_holistic_50
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peft
safetensors
llama-factory
lora
trl
dpo
generated_from_trainer
meta-llama/Llama-3.1-8B-Instruct
adapter
llama3.1
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Llama-3.1-8B-Instruct_holistic_50
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the holistic_50 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: 1e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
