joheras / mt5-small-finetuned-easy-read

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 2
30-day runs: 0
Model's Last Updated: March 21 2025
text-generation

Introduction of mt5-small-finetuned-easy-read

Model Details of mt5-small-finetuned-easy-read

mt5-small-finetuned-easy-read

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7917
  • Rouge1: 12.4918
  • Rouge2: 6.7409
  • Rougel: 11.2231
  • Rougelsum: 12.0442
  • Gen Len: 19.99
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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 450 2.1281 4.5701 1.9917 4.1438 4.4474 12.635
7.874 2.0 900 2.0106 8.6313 3.4925 7.8255 8.425 19.03
3.098 3.0 1350 1.9402 9.579 4.1365 8.6827 9.3027 19.7733
2.756 4.0 1800 1.8900 10.1482 4.5253 9.1449 9.8281 19.8667
2.6118 5.0 2250 1.8527 10.5116 4.8573 9.4613 10.1111 19.8883
2.5282 6.0 2700 1.8292 10.704 5.0833 9.6107 10.214 19.9367
2.4702 7.0 3150 1.8103 10.7648 5.1799 9.6605 10.2337 19.9483
2.4191 8.0 3600 1.7991 10.849 5.2741 9.7489 10.3033 19.9383
2.4059 9.0 4050 1.7924 12.4376 6.6643 11.1559 11.9786 19.99
2.3925 10.0 4500 1.7917 12.4918 6.7409 11.2231 12.0442 19.99
Framework versions
  • Transformers 4.49.0
  • Pytorch 2.0.0+cu117
  • Datasets 3.4.0
  • Tokenizers 0.21.0

Runs of joheras mt5-small-finetuned-easy-read on huggingface.co

12
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