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AlpacaBase_LoRaFinetune_SQUAD_dataset

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AlpacaBase_LoRaFinetune_SQUAD_dataset

This model is a fine-tuned version of declare-lab/flan-alpaca-base on an unknown dataset.

Model description

More information needed

Intended uses & limitations

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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: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3

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Model tree for vimal52/AlpacaBase_LoRaFinetune_SQUAD_dataset

Base model

declare-lab/flan-alpaca-base

Finetuned

(2)

this model

Evaluation results

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