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End of training
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metadata
license: apache-2.0
base_model: google/mt5-base
tags:
  - generated_from_trainer
datasets:
  - tiagoblima/qg_squad_v1_pt
model-index:
  - name: mt5_base-qg-aap-nopeft
    results: []

mt5_base-qg-aap-nopeft

This model is a fine-tuned version of google/mt5-base on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3944

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • 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
1.6835 1.0 1615 1.4690
1.5342 2.0 3231 1.4253
1.4247 3.0 4847 1.4048
1.3656 4.0 6463 1.3953
1.3288 5.0 8075 1.3944

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0