---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiSD3100
  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. -->

# wav2GPT2MusiSD3100

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: 1.4161
- Rouge1: 44.7443
- Rouge2: 17.1312
- Rougel: 32.345
- Rougelsum: 32.3028
- Gen Len: 48.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.8472        | 1.0   | 983  | 2.2487          | 34.6108 | 8.988   | 28.3576 | 28.296    | 28.0    |
| 2.4122        | 2.0   | 1966 | 2.0819          | 32.7125 | 12.0296 | 26.8296 | 26.8069   | 17.0    |
| 2.2629        | 3.0   | 2949 | 1.9330          | 35.1797 | 9.6539  | 29.1791 | 29.1386   | 27.0    |
| 2.1172        | 4.0   | 3932 | 1.8069          | 35.1797 | 9.6539  | 29.1791 | 29.1386   | 27.0    |
| 2.0178        | 5.0   | 4915 | 1.6942          | 31.452  | 9.5377  | 26.3165 | 26.2784   | 38.0    |
| 1.929         | 6.0   | 5898 | 1.6032          | 40.4263 | 13.1411 | 30.9662 | 30.876    | 41.0    |
| 1.8463        | 7.0   | 6881 | 1.5313          | 42.0504 | 14.6769 | 32.1858 | 32.11     | 38.0    |
| 1.7884        | 8.0   | 7864 | 1.4716          | 43.0698 | 14.1014 | 32.5069 | 32.4717   | 38.0    |
| 1.738         | 9.0   | 8847 | 1.4317          | 44.7769 | 17.0917 | 32.2387 | 32.1911   | 48.0    |
| 1.6979        | 10.0  | 9830 | 1.4161          | 44.7443 | 17.1312 | 32.345  | 32.3028   | 48.0    |


### Framework versions

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