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metadata
base_model: ''
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: wav2GPT2MusiNewStricD3E5
    results: []

wav2GPT2MusiNewStricD3E5

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

  • Loss: 1.9268
  • Rouge1: 31.1418
  • Rouge2: 9.8004
  • Rougel: 23.2508
  • Rougelsum: 23.2708
  • Gen Len: 64.93

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
2.6001 1.0 1361 2.2566 22.0988 6.1329 16.1614 16.1192 87.75
2.3044 2.0 2722 2.0828 26.1764 8.6856 19.2354 19.1702 74.46
2.1894 3.0 4083 1.9912 29.7982 9.264 22.2165 22.193 67.71
2.119 4.0 5444 1.9419 30.1668 9.2004 22.5359 22.5969 63.31
2.0963 5.0 6805 1.9268 31.1418 9.8004 23.2508 23.2708 64.93

Framework versions

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