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wav2GPT2MusiSD3100
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4092
- Rouge1: 15.6142
- Rouge2: 2.2075
- Rougel: 14.8541
- Rougelsum: 14.8888
- Gen Len: 60.0
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-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9569 | 1.0 | 959 | 1.7932 | 19.6635 | 2.3177 | 17.8258 | 17.8164 | 57.0 |
| 1.7035 | 2.0 | 1918 | 1.6795 | 18.4799 | 2.3155 | 16.3977 | 16.4296 | 63.0 |
| 1.6267 | 3.0 | 2877 | 1.6036 | 21.2993 | 2.9167 | 19.1184 | 19.1044 | 61.0 |
| 1.5669 | 4.0 | 3836 | 1.5429 | 16.6273 | 2.141 | 15.4121 | 15.4484 | 60.0 |
| 1.5373 | 5.0 | 4795 | 1.4901 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 |
| 1.5333 | 6.0 | 5754 | 1.4583 | 14.3844 | 2.1564 | 13.524 | 13.5429 | 58.0 |
| 1.5303 | 7.0 | 6713 | 1.4323 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 |
| 1.5337 | 8.0 | 7672 | 1.4156 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 |
| 1.5518 | 9.0 | 8631 | 1.4099 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 |
| 1.5764 | 10.0 | 9590 | 1.4092 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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