---
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: 1.4595
- Rouge1: 46.5222
- Rouge2: 18.6099
- Rougel: 33.3774
- Rougelsum: 33.3798
- Gen Len: 39.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4666        | 1.0   | 983  | 1.8573          | 38.068  | 13.843  | 29.5331 | 29.5373   | 33.0    |
| 2.0055        | 2.0   | 1966 | 1.7201          | 38.0701 | 11.4181 | 30.4599 | 30.4934   | 29.0    |
| 1.8958        | 3.0   | 2949 | 1.6381          | 45.7986 | 18.9877 | 33.2071 | 33.1974   | 43.0    |
| 1.8108        | 4.0   | 3932 | 1.5818          | 37.4842 | 13.0246 | 30.5066 | 30.5385   | 34.0    |
| 1.7778        | 5.0   | 4915 | 1.5410          | 38.3821 | 13.7607 | 30.4166 | 30.4494   | 28.0    |
| 1.7521        | 6.0   | 5898 | 1.5077          | 46.5222 | 18.6099 | 33.3774 | 33.3798   | 39.0    |
| 1.7425        | 7.0   | 6881 | 1.4850          | 43.6827 | 18.3618 | 33.0652 | 33.0676   | 43.0    |
| 1.7455        | 8.0   | 7864 | 1.4682          | 43.6827 | 18.3618 | 33.0652 | 33.0676   | 43.0    |
| 1.7459        | 9.0   | 8847 | 1.4621          | 46.5222 | 18.6099 | 33.3774 | 33.3798   | 39.0    |
| 1.7544        | 10.0  | 9830 | 1.4595          | 46.5222 | 18.6099 | 33.3774 | 33.3798   | 39.0    |


### Framework versions

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