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NumAndAlphaInstruct-75-25-100K – AI Model by abeiler | AlphaNeural AI

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abeiler/
NumAndAlphaInstruct-75-25-100K

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text-generation

generated_from_trainer

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

autotrain_compatible

text-generation-inference

endpoints_compatible

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goatNumAndAlphaInstruct-75-25-100K-QLORA

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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: 0.0001
train_batch_size: 4
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 4.33.3
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3