---
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: 0.7159
- Rouge1: 51.0246
- Rouge2: 28.8904
- Rougel: 41.9694
- Rougelsum: 41.9864
- Gen Len: 57.62

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.3604        | 1.0   | 1361 | 1.8562          | 29.3488 | 8.9477  | 21.7546 | 21.8458   | 49.94   |
| 1.8249        | 2.0   | 2722 | 1.4736          | 35.8525 | 12.9644 | 26.8468 | 26.8883   | 53.59   |
| 1.4928        | 3.0   | 4083 | 1.1557          | 36.0664 | 11.6796 | 26.6999 | 26.7209   | 65.05   |
| 1.149         | 4.0   | 5444 | 0.8567          | 45.1488 | 21.9847 | 35.4935 | 35.6169   | 56.51   |
| 0.862         | 5.0   | 6805 | 0.7159          | 51.0246 | 28.8904 | 41.9694 | 41.9864   | 57.62   |


### Framework versions

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