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---
license: apache-2.0
base_model: openai/whisper-base.en
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: whispherMusic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whispherMusic
This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0963
- Rouge1: 90.9672
- Rouge2: 87.2313
- Rougel: 89.5998
- Rougelsum: 89.7339
- Gen Len: 61.55
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1983 | 1.0 | 1361 | 0.8877 | 47.1749 | 24.9442 | 38.1501 | 38.1934 | 56.0 |
| 0.8787 | 2.0 | 2722 | 0.6673 | 53.2613 | 32.6244 | 45.2405 | 45.3614 | 58.53 |
| 0.6983 | 3.0 | 4083 | 0.4976 | 57.5956 | 38.8147 | 51.0468 | 51.1725 | 59.97 |
| 0.5077 | 4.0 | 5444 | 0.3677 | 65.1283 | 49.4333 | 59.061 | 59.107 | 58.67 |
| 0.3955 | 5.0 | 6805 | 0.2650 | 70.453 | 58.4358 | 66.2936 | 66.5477 | 59.05 |
| 0.2846 | 6.0 | 8166 | 0.1987 | 77.3147 | 67.0836 | 73.4161 | 73.6763 | 59.26 |
| 0.21 | 7.0 | 9527 | 0.1489 | 84.5594 | 78.1538 | 82.1324 | 82.1614 | 60.14 |
| 0.1598 | 8.0 | 10888 | 0.1196 | 88.5138 | 83.886 | 86.8481 | 86.9753 | 61.14 |
| 0.1213 | 9.0 | 12249 | 0.1023 | 91.0285 | 87.2329 | 89.6909 | 89.7877 | 61.19 |
| 0.1051 | 10.0 | 13610 | 0.0963 | 90.9672 | 87.2313 | 89.5998 | 89.7339 | 61.55 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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