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wav2GPT2MusicfreezeL5E2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2063
- Rouge1: 17.1779
- Rouge2: 5.8671
- Rougel: 12.3251
- Rougelsum: 12.3665
- Gen Len: 99.0
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.6363 | 1.0 | 1361 | 2.3060 | 15.2702 | 4.9763 | 11.5209 | 11.525 | 97.13 |
| 2.3894 | 2.0 | 2722 | 2.2063 | 17.1779 | 5.8671 | 12.3251 | 12.3665 | 99.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
