---
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: 0.4596
- Rouge1: 67.0305
- Rouge2: 49.4145
- Rougel: 59.4632
- Rougelsum: 59.5132
- Gen Len: 47.98

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.5281        | 1.0   | 983  | 1.7656          | 47.2738 | 19.609  | 35.166  | 35.1418   | 39.81   |
| 1.8844        | 2.0   | 1966 | 1.4416          | 48.4369 | 22.034  | 36.3312 | 36.3541   | 41.88   |
| 1.6071        | 3.0   | 2949 | 1.2060          | 49.7668 | 24.7504 | 38.8626 | 38.8523   | 37.8    |
| 1.3867        | 4.0   | 3932 | 1.0056          | 52.8821 | 28.115  | 40.5389 | 40.5263   | 44.19   |
| 1.1964        | 5.0   | 4915 | 0.8299          | 56.3235 | 32.1936 | 44.4629 | 44.3334   | 44.24   |
| 1.0301        | 6.0   | 5898 | 0.6930          | 59.6505 | 36.3548 | 48.4558 | 48.3634   | 44.14   |
| 0.904         | 7.0   | 6881 | 0.5916          | 61.3377 | 40.3586 | 50.8339 | 50.7188   | 46.15   |
| 0.7985        | 8.0   | 7864 | 0.5157          | 64.7817 | 45.3792 | 56.0262 | 55.9178   | 47.7    |
| 0.7125        | 9.0   | 8847 | 0.4722          | 66.0546 | 47.0456 | 57.422  | 57.37     | 48.35   |
| 0.6514        | 10.0  | 9830 | 0.4596          | 67.0305 | 49.4145 | 59.4632 | 59.5132   | 47.98   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3