---
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: 1.4543
- Rouge1: 14.9678
- Rouge2: 2.1649
- Rougel: 14.4205
- Rougelsum: 14.4408
- Gen Len: 64.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.7082        | 1.0   | 959  | 2.5321          | 18.3219 | 2.1594 | 17.0253 | 17.0044   | 82.0    |
| 2.2926        | 2.0   | 1918 | 2.3019          | 17.7317 | 2.1985 | 16.3236 | 16.3132   | 71.0    |
| 2.1349        | 3.0   | 2877 | 2.1208          | 21.6818 | 2.6244 | 19.1082 | 19.0883   | 58.0    |
| 1.9939        | 4.0   | 3836 | 1.9543          | 19.6238 | 2.7829 | 17.8229 | 17.7944   | 72.0    |
| 1.8933        | 5.0   | 4795 | 1.8055          | 17.2105 | 2.0041 | 16.7053 | 16.766    | 46.0    |
| 1.8068        | 6.0   | 5754 | 1.6966          | 14.8562 | 2.0662 | 14.4525 | 14.4841   | 64.0    |
| 1.7375        | 7.0   | 6713 | 1.5950          | 15.0644 | 2.1461 | 14.7203 | 14.7665   | 65.0    |
| 1.6704        | 8.0   | 7672 | 1.5214          | 14.9678 | 2.1649 | 14.4205 | 14.4408   | 64.0    |
| 1.6254        | 9.0   | 8631 | 1.4738          | 14.9678 | 2.1649 | 14.4205 | 14.4408   | 64.0    |
| 1.5941        | 10.0  | 9590 | 1.4543          | 14.9678 | 2.1649 | 14.4205 | 14.4408   | 64.0    |


### Framework versions

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