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mT5-TextSimp-LT-BatchSize8-lr5e-5

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

  • Loss: 0.0983
  • Rouge1: 0.6245
  • Rouge2: 0.4439
  • Rougel: 0.6142
  • Sacrebleu: 35.7192
  • Gen Len: 38.0501

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Sacrebleu Gen Len
35.3898 0.96 200 27.6372 0.0019 0.0 0.0018 0.0003 512.0
3.5712 1.91 400 1.9615 0.0171 0.0 0.0167 0.0225 39.0501
0.6489 2.87 600 0.5638 0.0052 0.0 0.0051 0.0256 39.0501
0.6017 3.83 800 3.2823 0.2419 0.1287 0.2318 0.6457 130.3556
0.3784 4.78 1000 0.1340 0.5092 0.3277 0.4978 26.7005 38.0549
0.1521 5.74 1200 0.1092 0.5782 0.3973 0.5672 33.2443 38.0501
0.2096 6.7 1400 0.1001 0.6149 0.4342 0.6046 34.6518 38.0501
0.1719 7.66 1600 0.0983 0.6245 0.4439 0.6142 35.7192 38.0501

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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