---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiSD3100
  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. -->

# wav2GPT2MusiSD3100

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: 1.4092
- Rouge1: 15.6142
- Rouge2: 2.2075
- Rougel: 14.8541
- Rougelsum: 14.8888
- Gen Len: 60.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.9569        | 1.0   | 959  | 1.7932          | 19.6635 | 2.3177 | 17.8258 | 17.8164   | 57.0    |
| 1.7035        | 2.0   | 1918 | 1.6795          | 18.4799 | 2.3155 | 16.3977 | 16.4296   | 63.0    |
| 1.6267        | 3.0   | 2877 | 1.6036          | 21.2993 | 2.9167 | 19.1184 | 19.1044   | 61.0    |
| 1.5669        | 4.0   | 3836 | 1.5429          | 16.6273 | 2.141  | 15.4121 | 15.4484   | 60.0    |
| 1.5373        | 5.0   | 4795 | 1.4901          | 15.6142 | 2.2075 | 14.8541 | 14.8888   | 60.0    |
| 1.5333        | 6.0   | 5754 | 1.4583          | 14.3844 | 2.1564 | 13.524  | 13.5429   | 58.0    |
| 1.5303        | 7.0   | 6713 | 1.4323          | 15.6142 | 2.2075 | 14.8541 | 14.8888   | 60.0    |
| 1.5337        | 8.0   | 7672 | 1.4156          | 15.6142 | 2.2075 | 14.8541 | 14.8888   | 60.0    |
| 1.5518        | 9.0   | 8631 | 1.4099          | 15.6142 | 2.2075 | 14.8541 | 14.8888   | 60.0    |
| 1.5764        | 10.0  | 9590 | 1.4092          | 15.6142 | 2.2075 | 14.8541 | 14.8888   | 60.0    |


### Framework versions

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