mt5-base-wikinewssum-spanish

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: 2.2394
  • Rouge1: 7.9732
  • Rouge2: 3.5041
  • Rougel: 6.6713
  • Rougelsum: 7.5229

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 1.0 528 2.3707 6.687 2.9169 5.6793 6.2978
No log 2.0 1056 2.3140 7.9518 3.4529 6.7265 7.4984
No log 3.0 1584 2.2848 7.9708 3.5344 6.7272 7.534
No log 4.0 2112 2.2668 8.0252 3.5323 6.7319 7.5819
3.2944 5.0 2640 2.2532 8.0143 3.534 6.7155 7.582
3.2944 6.0 3168 2.2399 7.9525 3.4849 6.6716 7.5155
3.2944 7.0 3696 2.2376 7.9405 3.4661 6.6559 7.5043
3.2944 8.0 4224 2.2394 7.9732 3.5041 6.6713 7.5229

Framework versions

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