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wav2BertMusic
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1932
- Rouge1: 24.6783
- Rouge2: 7.4152
- Rougel: 18.5063
- Rougelsum: 18.4876
- Gen Len: 57.47
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 |
---|---|---|---|---|---|---|---|---|
3.9337 | 1.0 | 1361 | 3.0866 | 33.4529 | 9.1841 | 24.0245 | 24.0402 | 61.0 |
2.9007 | 2.0 | 2722 | 2.5830 | 21.3719 | 5.1164 | 17.9298 | 17.9543 | 22.0 |
2.618 | 3.0 | 4083 | 2.3494 | 28.6972 | 8.052 | 21.1856 | 21.2321 | 80.0 |
2.4682 | 4.0 | 5444 | 2.2407 | 25.5182 | 7.855 | 19.118 | 19.1135 | 53.54 |
2.421 | 5.0 | 6805 | 2.1932 | 24.6783 | 7.4152 | 18.5063 | 18.4876 | 57.47 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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