---
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: 1.4621
- Rouge1: 49.1683
- Rouge2: 19.4082
- Rougel: 33.9969
- Rougelsum: 33.9813
- Gen Len: 40.0

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4584        | 1.0   | 983  | 1.8478          | 38.1727 | 13.6798 | 29.6916 | 29.6486   | 34.0    |
| 2.002         | 2.0   | 1966 | 1.7151          | 38.1157 | 11.406  | 30.5444 | 30.4542   | 29.0    |
| 1.8944        | 3.0   | 2949 | 1.6377          | 41.6078 | 14.6425 | 29.1709 | 29.1277   | 40.0    |
| 1.809         | 4.0   | 3932 | 1.5824          | 38.1157 | 11.4094 | 30.2316 | 30.174    | 29.0    |
| 1.7763        | 5.0   | 4915 | 1.5419          | 38.1157 | 12.8897 | 30.0962 | 30.034    | 29.0    |
| 1.7535        | 6.0   | 5898 | 1.5088          | 46.8579 | 18.9781 | 33.0079 | 33.0205   | 41.0    |
| 1.7409        | 7.0   | 6881 | 1.4867          | 49.1683 | 19.4082 | 33.9969 | 33.9813   | 40.0    |
| 1.7442        | 8.0   | 7864 | 1.4712          | 43.8511 | 18.6704 | 31.2102 | 31.2126   | 47.0    |
| 1.7462        | 9.0   | 8847 | 1.4651          | 43.8511 | 18.6704 | 31.2102 | 31.2126   | 47.0    |
| 1.753         | 10.0  | 9830 | 1.4621          | 49.1683 | 19.4082 | 33.9969 | 33.9813   | 40.0    |


### Framework versions

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