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goatV9-QLORA – AI Model by abeiler | AlphaNeural AI

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abeiler/
goatV9-QLORA

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

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goatV9-QLORA

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3721

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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3