---
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: whispherMusicTiny
  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. -->

# whispherMusicTiny

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/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