---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiNewStricD3E5
  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. -->

# wav2GPT2MusiNewStricD3E5

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: 1.9268
- Rouge1: 31.1418
- Rouge2: 9.8004
- Rougel: 23.2508
- Rougelsum: 23.2708
- Gen Len: 64.93

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.6001        | 1.0   | 1361 | 2.2566          | 22.0988 | 6.1329 | 16.1614 | 16.1192   | 87.75   |
| 2.3044        | 2.0   | 2722 | 2.0828          | 26.1764 | 8.6856 | 19.2354 | 19.1702   | 74.46   |
| 2.1894        | 3.0   | 4083 | 1.9912          | 29.7982 | 9.264  | 22.2165 | 22.193    | 67.71   |
| 2.119         | 4.0   | 5444 | 1.9419          | 30.1668 | 9.2004 | 22.5359 | 22.5969   | 63.31   |
| 2.0963        | 5.0   | 6805 | 1.9268          | 31.1418 | 9.8004 | 23.2508 | 23.2708   | 64.93   |


### Framework versions

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