---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2Musicfreeze
  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. -->

# wav2GPT2Musicfreeze

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: 1.0685
- Rouge1: 32.5473
- Rouge2: 9.2754
- Rougel: 23.52
- Rougelsum: 23.5525
- Gen Len: 74.0

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.2767        | 1.0   | 1361  | 1.8699          | 31.5702 | 8.644  | 23.435  | 23.5065   | 54.0    |
| 1.9325        | 2.0   | 2722  | 1.6511          | 29.4728 | 8.9646 | 21.6881 | 21.6896   | 87.0    |
| 1.7731        | 3.0   | 4083  | 1.5085          | 29.7153 | 8.7535 | 21.8973 | 21.9541   | 85.0    |
| 1.638         | 4.0   | 5444  | 1.4016          | 32.9074 | 7.9981 | 23.745  | 23.7152   | 59.0    |
| 1.5524        | 5.0   | 6805  | 1.2975          | 32.8051 | 9.6371 | 23.658  | 23.6868   | 74.0    |
| 1.4795        | 6.0   | 8166  | 1.2239          | 27.9746 | 7.7738 | 20.7341 | 20.6989   | 50.0    |
| 1.4163        | 7.0   | 9527  | 1.1602          | 29.1471 | 7.3243 | 22.2569 | 22.253    | 57.0    |
| 1.3457        | 8.0   | 10888 | 1.1083          | 33.2668 | 9.4555 | 23.5864 | 23.6329   | 78.0    |
| 1.3106        | 9.0   | 12249 | 1.0809          | 32.5473 | 9.2754 | 23.52   | 23.5525   | 74.0    |
| 1.2819        | 10.0  | 13610 | 1.0685          | 32.5473 | 9.2754 | 23.52   | 23.5525   | 74.0    |


### Framework versions

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