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wav2BertMusicfreeze
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3867
- Rouge1: 27.1456
- Rouge2: 7.625
- Rougel: 20.1034
- Rougelsum: 20.0485
- Gen Len: 46.26
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: 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 |
|---|---|---|---|---|---|---|---|---|
| 5.1626 | 1.0 | 1361 | 3.9917 | 24.7464 | 5.7911 | 18.5211 | 18.5124 | 65.15 |
| 3.4372 | 2.0 | 2722 | 3.0113 | 24.0633 | 5.6872 | 18.4731 | 18.4535 | 40.02 |
| 2.9324 | 3.0 | 4083 | 2.6271 | 32.2681 | 8.0887 | 23.541 | 23.4982 | 54.76 |
| 2.7227 | 4.0 | 5444 | 2.4558 | 29.1184 | 6.5853 | 21.5936 | 21.5896 | 48.21 |
| 2.6377 | 5.0 | 6805 | 2.3867 | 27.1456 | 7.625 | 20.1034 | 20.0485 | 46.26 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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