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mt5-base-wikinewssum-french

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

  • Loss: 2.0917
  • Rouge1: 12.0984
  • Rouge2: 5.7289
  • Rougel: 9.9245
  • Rougelsum: 11.0697

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: 5.6e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
No log 1.0 549 2.3203 11.5172 4.9352 9.3617 10.4605
No log 2.0 1098 2.2057 11.8469 5.2369 9.6452 10.8337
No log 3.0 1647 2.1525 11.9096 5.4027 9.7648 10.9315
3.1825 4.0 2196 2.1307 12.0782 5.5848 9.9614 11.1081
3.1825 5.0 2745 2.1172 11.9821 5.6042 9.8216 11.0077
3.1825 6.0 3294 2.1012 12.0845 5.6834 9.9119 11.0741
3.1825 7.0 3843 2.0964 12.1296 5.7271 9.9495 11.1227
2.3376 8.0 4392 2.0917 12.0984 5.7289 9.9245 11.0697

Framework versions

  • Transformers 4.13.0
  • Pytorch 1.10.1
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Evaluation results