---
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: 1.4136
- Rouge1: 18.3305
- Rouge2: 2.3398
- Rougel: 16.1355
- Rougelsum: 16.0889
- Gen Len: 68.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.9475        | 1.0   | 959  | 1.7999          | 21.7144 | 2.959  | 19.633  | 19.6005   | 63.0    |
| 1.7055        | 2.0   | 1918 | 1.6840          | 21.3721 | 2.9057 | 19.166  | 19.142    | 61.0    |
| 1.6262        | 3.0   | 2877 | 1.6052          | 19.3952 | 2.692  | 17.8213 | 17.7863   | 76.0    |
| 1.5601        | 4.0   | 3836 | 1.5495          | 18.0278 | 2.2993 | 16.1559 | 16.1154   | 68.0    |
| 1.5354        | 5.0   | 4795 | 1.4992          | 18.1503 | 2.1188 | 15.9452 | 15.9245   | 62.0    |
| 1.5294        | 6.0   | 5754 | 1.4659          | 18.0278 | 2.2993 | 16.1559 | 16.1154   | 68.0    |
| 1.5278        | 7.0   | 6713 | 1.4371          | 16.5149 | 2.4707 | 15.8236 | 15.7624   | 60.0    |
| 1.5306        | 8.0   | 7672 | 1.4223          | 18.7176 | 2.4645 | 16.5148 | 16.4705   | 62.0    |
| 1.5477        | 9.0   | 8631 | 1.4148          | 18.3305 | 2.3398 | 16.1355 | 16.0889   | 68.0    |
| 1.5722        | 10.0  | 9590 | 1.4136          | 18.3305 | 2.3398 | 16.1355 | 16.0889   | 68.0    |


### Framework versions

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