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

mt5_base-qg-ap-oficial

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

  • Loss: 1.3846

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
1.6703 1.0 2367 1.4647
1.4897 2.0 4734 1.4201
1.3982 3.0 7101 1.3960
1.3304 4.0 9468 1.3853
1.2909 5.0 11835 1.3846

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0