---
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: 0.9236
- Rouge1: 28.7212
- Rouge2: 7.4616
- Rougel: 21.8892
- Rougelsum: 21.8832
- Gen Len: 46.0

## 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: 1e-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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.2945        | 1.0   | 1361  | 1.1031          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
| 1.212         | 2.0   | 2722  | 1.0544          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
| 1.1771        | 3.0   | 4083  | 1.0171          | 27.7311 | 6.574  | 21.4759 | 21.4402   | 57.0    |
| 1.124         | 4.0   | 5444  | 0.9856          | 30.3958 | 7.6795 | 22.3852 | 22.4201   | 62.0    |
| 1.1177        | 5.0   | 6805  | 0.9591          | 30.2957 | 8.1085 | 22.6405 | 22.5926   | 50.0    |
| 1.1168        | 6.0   | 8166  | 0.9419          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
| 1.1277        | 7.0   | 9527  | 0.9304          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
| 1.1256        | 8.0   | 10888 | 0.9227          | 29.7298 | 7.2318 | 22.3598 | 22.3739   | 56.0    |
| 1.1617        | 9.0   | 12249 | 0.9222          | 28.7212 | 7.4616 | 21.8892 | 21.8832   | 46.0    |
| 1.2002        | 10.0  | 13610 | 0.9236          | 28.7212 | 7.4616 | 21.8892 | 21.8832   | 46.0    |


### Framework versions

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