---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiSD3200
  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. -->

# wav2GPT2MusiSD3200

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: 1.0719
- Rouge1: 26.4817
- Rouge2: 7.5371
- Rougel: 20.5034
- Rougelsum: 20.4753
- Gen Len: 50.0

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.3142        | 1.0   | 1361  | 1.9011          | 30.4426 | 7.6822 | 22.0685 | 22.0967   | 65.0    |
| 1.9704        | 2.0   | 2722  | 1.6765          | 24.8748 | 5.8724 | 20.797  | 20.7737   | 72.0    |
| 1.8047        | 3.0   | 4083  | 1.5301          | 29.2797 | 7.7402 | 21.8235 | 21.769    | 58.0    |
| 1.666         | 4.0   | 5444  | 1.4232          | 33.1568 | 8.7277 | 23.07   | 23.013    | 81.0    |
| 1.5785        | 5.0   | 6805  | 1.3077          | 28.4221 | 7.6332 | 20.5747 | 20.5799   | 55.0    |
| 1.502         | 6.0   | 8166  | 1.2324          | 27.9706 | 7.7542 | 20.6862 | 20.6696   | 50.0    |
| 1.4354        | 7.0   | 9527  | 1.1675          | 28.7212 | 7.4616 | 21.8892 | 21.8832   | 46.0    |
| 1.3681        | 8.0   | 10888 | 1.1178          | 26.8721 | 7.716  | 20.9267 | 20.9161   | 46.0    |
| 1.3321        | 9.0   | 12249 | 1.0847          | 26.4817 | 7.5371 | 20.5034 | 20.4753   | 50.0    |
| 1.2997        | 10.0  | 13610 | 1.0719          | 26.4817 | 7.5371 | 20.5034 | 20.4753   | 50.0    |


### Framework versions

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