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Mistral-Alpaca-Finetuned – AI Model by karthiksagarn | AlphaNeural AI

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karthiksagarn/
Mistral-Alpaca-Finetuned

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generated_from_trainer

question-answering

tatsu-lab/alpaca

TheBloke/Mistral-7B-Instruct-v0.1-GPTQ

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Mistral-Alpaca-Finetuned

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the tatsu-lab/alpaca 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

PEFT 0.10.0
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1