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hubert2BertMusicTestL1e5

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

  • Loss: 3.4298
  • Rouge1: 28.0133
  • Rouge2: 7.7565
  • Rougel: 20.6731
  • Rougelsum: 20.7167
  • Gen Len: 49.39

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
5.5936 1.0 1361 4.7638 27.3446 4.7076 20.5101 20.5046 53.77
4.4297 2.0 2722 3.9961 24.1606 4.4476 17.5901 17.5595 78.37
3.9625 3.0 4083 3.6406 29.6819 6.5423 21.0926 21.0753 69.61
3.7816 4.0 5444 3.4773 29.1938 6.6737 20.5273 20.4925 58.06
3.7116 5.0 6805 3.4298 28.0133 7.7565 20.6731 20.7167 49.39

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.2
  • Tokenizers 0.13.3
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