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t5_base-qg-aap

This model is a fine-tuned version of unicamp-dl/ptt5-base-t5-vocab on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:

  • Loss: 6.3277

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: 0.005
  • train_batch_size: 64
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss
6.5035 1.0 808 8.1124
5.7466 2.0 1616 7.2135
5.2988 3.0 2424 6.6903
5.0703 4.0 3232 6.4140
5.0044 5.0 4040 6.3277

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Dataset used to train tiagoblima/t5_base-qg-aap