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wav2GPT2Musicfreeze
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8045
- Rouge1: 26.2472
- Rouge2: 7.6455
- Rougel: 21.4598
- Rougelsum: 21.4417
- Gen Len: 19.0
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-06
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.3004 | 1.0 | 1361 | 3.0038 | 18.3993 | 2.3008 | 17.3929 | 17.4118 | 99.0 |
| 3.0128 | 2.0 | 2722 | 2.8460 | 26.8658 | 7.5641 | 21.9666 | 21.9968 | 20.48 |
| 2.9507 | 3.0 | 4083 | 2.8045 | 26.2472 | 7.6455 | 21.4598 | 21.4417 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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