whispherMusicTiny
This model is a fine-tuned version of openai/whisper-tiny.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5623
- Rouge1: 26.7441
- Rouge2: 6.3706
- Rougel: 23.6169
- Rougelsum: 23.5887
- Gen Len: 65.71
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 |
|---|---|---|---|---|---|---|---|---|
| 3.187 | 1.0 | 959 | 2.8591 | 22.3571 | 4.0074 | 20.7932 | 20.8063 | 67.11 |
| 2.4008 | 2.0 | 1918 | 2.3569 | 25.1707 | 4.7622 | 22.9043 | 22.934 | 59.9 |
| 2.059 | 3.0 | 2877 | 1.9763 | 23.6382 | 4.0133 | 21.9178 | 21.9638 | 57.94 |
| 1.7741 | 4.0 | 3836 | 1.6896 | 25.0574 | 5.335 | 22.7412 | 22.7141 | 64.13 |
| 1.542 | 5.0 | 4795 | 1.5623 | 26.7441 | 6.3706 | 23.6169 | 23.5887 | 65.71 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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Base model
openai/whisper-tiny.en