---
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: 1.0695
- Rouge1: 27.535
- Rouge2: 6.4489
- Rougel: 21.3553
- Rougelsum: 21.3149
- Gen Len: 62.0

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.3153        | 1.0   | 1361  | 1.8998          | 28.933  | 7.6448 | 21.3837 | 21.3322   | 70.0    |
| 1.9693        | 2.0   | 2722  | 1.6823          | 21.1663 | 4.9059 | 18.2626 | 18.2806   | 65.0    |
| 1.8035        | 3.0   | 4083  | 1.5310          | 30.8905 | 9.1528 | 22.7768 | 22.7103   | 89.0    |
| 1.6632        | 4.0   | 5444  | 1.4205          | 31.8655 | 7.8167 | 22.7573 | 22.7116   | 66.0    |
| 1.5764        | 5.0   | 6805  | 1.3066          | 29.913  | 7.5342 | 21.2873 | 21.2554   | 62.0    |
| 1.5009        | 6.0   | 8166  | 1.2299          | 30.9454 | 8.005  | 22.3495 | 22.2846   | 63.0    |
| 1.4331        | 7.0   | 9527  | 1.1677          | 28.1694 | 6.8177 | 21.7434 | 21.703    | 55.0    |
| 1.3667        | 8.0   | 10888 | 1.1135          | 28.1109 | 6.7004 | 21.4423 | 21.3734   | 51.0    |
| 1.3285        | 9.0   | 12249 | 1.0826          | 27.6524 | 8.0724 | 21.2241 | 21.1558   | 49.0    |
| 1.2996        | 10.0  | 13610 | 1.0695          | 27.535  | 6.4489 | 21.3553 | 21.3149   | 62.0    |


### Framework versions

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