Edit model card

t5_base-qg-ap-peft-oficial

This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on the tiagoblima/du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:

  • Loss: 15.9549

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: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss
13.2241 1.0 2367 16.4507
12.9503 2.0 4734 16.2224
12.8425 3.0 7101 16.0670
12.8058 4.0 9468 15.9792
12.7937 5.0 11835 15.9549

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.1
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for tiagoblima/t5_base-qg-ap-peft-oficial

Finetuned
(18)
this model

Dataset used to train tiagoblima/t5_base-qg-ap-peft-oficial