---
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: 2.5120
- Rouge1: 20.9558
- Rouge2: 3.2839
- Rougel: 19.7122
- Rougelsum: 19.6901
- Gen Len: 67.79

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.7207        | 1.0   | 959  | 2.7234          | 20.368  | 2.6174 | 18.7438 | 18.7592   | 63.11   |
| 2.4751        | 2.0   | 1918 | 2.6164          | 20.9097 | 3.3813 | 19.3157 | 19.386    | 66.29   |
| 2.3977        | 3.0   | 2877 | 2.5586          | 21.178  | 3.5221 | 19.9418 | 19.9061   | 67.82   |
| 2.3305        | 4.0   | 3836 | 2.5236          | 21.4817 | 3.5503 | 20.3017 | 20.2749   | 67.58   |
| 2.3079        | 5.0   | 4795 | 2.5120          | 20.9558 | 3.2839 | 19.7122 | 19.6901   | 67.79   |


### Framework versions

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