---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2BertMusicfreeze
  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. -->

# wav2BertMusicfreeze

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3867
- Rouge1: 27.1456
- Rouge2: 7.625
- Rougel: 20.1034
- Rougelsum: 20.0485
- Gen Len: 46.26

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 5.1626        | 1.0   | 1361 | 3.9917          | 24.7464 | 5.7911 | 18.5211 | 18.5124   | 65.15   |
| 3.4372        | 2.0   | 2722 | 3.0113          | 24.0633 | 5.6872 | 18.4731 | 18.4535   | 40.02   |
| 2.9324        | 3.0   | 4083 | 2.6271          | 32.2681 | 8.0887 | 23.541  | 23.4982   | 54.76   |
| 2.7227        | 4.0   | 5444 | 2.4558          | 29.1184 | 6.5853 | 21.5936 | 21.5896   | 48.21   |
| 2.6377        | 5.0   | 6805 | 2.3867          | 27.1456 | 7.625  | 20.1034 | 20.0485   | 46.26   |


### Framework versions

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