---
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: 1.1914
- Rouge1: 30.2379
- Rouge2: 8.3781
- Rougel: 25.6302
- Rougelsum: 25.6217
- Gen Len: 63.09

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.0989        | 1.0   | 959  | 2.7267          | 22.3544 | 3.7732 | 21.0972 | 21.1155   | 58.46   |
| 2.2959        | 2.0   | 1918 | 2.1774          | 23.3309 | 3.946  | 21.5505 | 21.497    | 61.0    |
| 1.8902        | 3.0   | 2877 | 1.7126          | 26.1869 | 5.372  | 23.7001 | 23.6849   | 61.0    |
| 1.5533        | 4.0   | 3836 | 1.3554          | 29.4291 | 7.42   | 25.1978 | 25.1515   | 62.55   |
| 1.2635        | 5.0   | 4795 | 1.1914          | 30.2379 | 8.3781 | 25.6302 | 25.6217   | 63.09   |


### Framework versions

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