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metadata
license: apache-2.0
base_model: google/mt5-base
tags:
  - generated_from_trainer
datasets:
  - tiagoblima/preprocessed-du-qg-squadv1_pt
model-index:
  - name: mt5_base-qg-aap-oficial
    results: []

mt5_base-qg-aap-oficial

This model is a fine-tuned version of google/mt5-base on the tiagoblima/preprocessed-du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0870

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
1.7144 1.0 1386 1.3310
1.5556 2.0 2772 1.2120
1.4427 3.0 4158 1.1406
1.3878 4.0 5544 1.0971
1.3626 5.0 6930 1.0870

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.1