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llama-3-8b-instruct-sft-rewriting-fs-promptbench-attackblind – AI Model by aryanagrawal1 | AlphaNeural AI
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aryanagrawal1
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llama-3-8b-instruct-sft-rewriting-fs-promptbench-attackblind
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Meta-Llama-3-8B-Instruct
adapter
llama3
us
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llama-3-8b-instruct-sft-rewriting-fewshot-no_overlap
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
on the None 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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
