---
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: 0.9861
- Rouge1: 53.286
- Rouge2: 27.5382
- Rougel: 41.0668
- Rougelsum: 41.0378
- Gen Len: 43.05

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.8241        | 1.0   | 983  | 2.1249          | 38.9009 | 11.883  | 30.4391 | 30.3769   | 40.86   |
| 2.2297        | 2.0   | 1966 | 1.8067          | 40.8363 | 15.1119 | 32.2579 | 32.2289   | 38.59   |
| 1.9156        | 3.0   | 2949 | 1.4818          | 43.5357 | 16.8437 | 33.6575 | 33.6616   | 35.11   |
| 1.5954        | 4.0   | 3932 | 1.1631          | 48.9965 | 22.296  | 36.029  | 35.984    | 41.38   |
| 1.2973        | 5.0   | 4915 | 0.9861          | 53.286  | 27.5382 | 41.0668 | 41.0378   | 43.05   |


### Framework versions

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