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metadata
license: apache-2.0
base_model: declare-lab/flan-alpaca-base
tags:
  - generated_from_trainer
model-index:
  - name: AlpacaBase_LoRaFinetune_SQUAD_dataset
    results: []

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

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: 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