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---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiSD3200
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. -->
# wav2GPT2MusiSD3200
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: 1.4595
- Rouge1: 46.5222
- Rouge2: 18.6099
- Rougel: 33.3774
- Rougelsum: 33.3798
- Gen Len: 39.0
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4666 | 1.0 | 983 | 1.8573 | 38.068 | 13.843 | 29.5331 | 29.5373 | 33.0 |
| 2.0055 | 2.0 | 1966 | 1.7201 | 38.0701 | 11.4181 | 30.4599 | 30.4934 | 29.0 |
| 1.8958 | 3.0 | 2949 | 1.6381 | 45.7986 | 18.9877 | 33.2071 | 33.1974 | 43.0 |
| 1.8108 | 4.0 | 3932 | 1.5818 | 37.4842 | 13.0246 | 30.5066 | 30.5385 | 34.0 |
| 1.7778 | 5.0 | 4915 | 1.5410 | 38.3821 | 13.7607 | 30.4166 | 30.4494 | 28.0 |
| 1.7521 | 6.0 | 5898 | 1.5077 | 46.5222 | 18.6099 | 33.3774 | 33.3798 | 39.0 |
| 1.7425 | 7.0 | 6881 | 1.4850 | 43.6827 | 18.3618 | 33.0652 | 33.0676 | 43.0 |
| 1.7455 | 8.0 | 7864 | 1.4682 | 43.6827 | 18.3618 | 33.0652 | 33.0676 | 43.0 |
| 1.7459 | 9.0 | 8847 | 1.4621 | 46.5222 | 18.6099 | 33.3774 | 33.3798 | 39.0 |
| 1.7544 | 10.0 | 9830 | 1.4595 | 46.5222 | 18.6099 | 33.3774 | 33.3798 | 39.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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