---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2Musicfreeze
  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. -->

# wav2GPT2Musicfreeze

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: 2.8045
- Rouge1: 26.2472
- Rouge2: 7.6455
- Rougel: 21.4598
- Rougelsum: 21.4417
- Gen Len: 19.0

## 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-06
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.3004        | 1.0   | 1361 | 3.0038          | 18.3993 | 2.3008 | 17.3929 | 17.4118   | 99.0    |
| 3.0128        | 2.0   | 2722 | 2.8460          | 26.8658 | 7.5641 | 21.9666 | 21.9968   | 20.48   |
| 2.9507        | 3.0   | 4083 | 2.8045          | 26.2472 | 7.6455 | 21.4598 | 21.4417   | 19.0    |


### Framework versions

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