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secllama – AI Model by rlawhddn | AlphaNeural AI

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rlawhddn/
secllama

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meta-llama/Llama-2-7b-hf

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secllama

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 30
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.1.dev0
Transformers 4.44.0.dev0
Pytorch 2.2.2
Datasets 2.20.0
Tokenizers 0.19.1