t5_large-qg-aap / README.md
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metadata
license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: unicamp-dl/ptt5-large-t5-vocab
model-index:
  - name: t5_large-qg-aap
    results: []

t5_large-qg-aap

This model is a fine-tuned version of unicamp-dl/ptt5-large-t5-vocab 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: 128
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0