---
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: 1.4619
- Rouge1: 19.2446
- Rouge2: 2.6708
- Rougel: 17.8027
- Rougelsum: 17.766
- Gen Len: 76.0

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.7069        | 1.0   | 959  | 2.5357          | 18.3668 | 2.1635 | 17.0926 | 17.0433   | 82.0    |
| 2.2934        | 2.0   | 1918 | 2.3074          | 17.0518 | 2.1435 | 16.0006 | 15.9772   | 70.0    |
| 2.1363        | 3.0   | 2877 | 2.1253          | 17.2075 | 2.008  | 16.8224 | 16.7772   | 46.0    |
| 1.9919        | 4.0   | 3836 | 1.9537          | 17.9258 | 2.0952 | 16.7574 | 16.6999   | 88.0    |
| 1.8915        | 5.0   | 4795 | 1.8144          | 17.2075 | 2.008  | 16.8224 | 16.7772   | 46.0    |
| 1.8069        | 6.0   | 5754 | 1.6979          | 15.9274 | 2.3889 | 15.2764 | 15.2325   | 64.0    |
| 1.7355        | 7.0   | 6713 | 1.5992          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
| 1.6694        | 8.0   | 7672 | 1.5291          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
| 1.6216        | 9.0   | 8631 | 1.4830          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
| 1.5901        | 10.0  | 9590 | 1.4619          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |


### Framework versions

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