---
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: 2.2775
- Rouge1: 37.5957
- Rouge2: 10.8859
- Rougel: 29.7559
- Rougelsum: 29.7904
- Gen Len: 33.19

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.1175        | 1.0   | 983  | 2.5054          | 36.6389 | 9.7932  | 28.7186 | 28.771    | 30.04   |
| 2.6547        | 2.0   | 1966 | 2.3880          | 36.5342 | 10.597  | 29.092  | 29.0762   | 28.1    |
| 2.5787        | 3.0   | 2949 | 2.3239          | 37.5926 | 10.5376 | 29.0149 | 29.0558   | 34.72   |
| 2.5014        | 4.0   | 3932 | 2.2907          | 36.1982 | 9.8055  | 29.3162 | 29.3555   | 33.97   |
| 2.4805        | 5.0   | 4915 | 2.2775          | 37.5957 | 10.8859 | 29.7559 | 29.7904   | 33.19   |


### Framework versions

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