---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiNewStricD3E20
  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. -->

# wav2GPT2MusiNewStricD3E20

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: 1.1798
- Rouge1: 42.718
- Rouge2: 15.0335
- Rougel: 31.8817
- Rougelsum: 31.9212
- Gen Len: 43.0

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.5878        | 1.0   | 1965  | 2.1959          | 41.9136 | 15.4521 | 29.7881 | 29.7614   | 31.0    |
| 2.3482        | 2.0   | 3930  | 1.9855          | 40.4721 | 16.569  | 31.6934 | 31.7144   | 38.0    |
| 2.1654        | 3.0   | 5895  | 1.8376          | 41.8598 | 14.9311 | 30.3721 | 30.3997   | 34.0    |
| 2.0384        | 4.0   | 7860  | 1.6717          | 42.5698 | 14.1943 | 31.615  | 31.654    | 33.0    |
| 1.8891        | 5.0   | 9825  | 1.5404          | 39.8572 | 14.4559 | 30.1631 | 30.1786   | 41.0    |
| 1.7814        | 6.0   | 11790 | 1.4242          | 35.0971 | 11.2726 | 28.6884 | 28.6569   | 27.0    |
| 1.6694        | 7.0   | 13755 | 1.3285          | 44.2173 | 15.6466 | 31.3753 | 31.3925   | 36.0    |
| 1.5879        | 8.0   | 15720 | 1.2541          | 43.807  | 14.9798 | 31.8325 | 31.8513   | 43.0    |
| 1.5305        | 9.0   | 17685 | 1.2066          | 42.3866 | 14.1488 | 32.1651 | 32.2115   | 39.0    |
| 1.4758        | 10.0  | 19650 | 1.1798          | 42.718  | 15.0335 | 31.8817 | 31.9212   | 43.0    |


### Framework versions

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