---
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: 1.4167
- Rouge1: 46.3177
- Rouge2: 18.1696
- Rougel: 34.6558
- Rougelsum: 34.636
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.8481        | 1.0   | 983  | 2.2495          | 34.5797 | 8.9817  | 28.3195 | 28.32     | 28.0    |
| 2.4137        | 2.0   | 1966 | 2.0846          | 36.3928 | 12.5876 | 27.98   | 27.9842   | 21.0    |
| 2.2635        | 3.0   | 2949 | 1.9332          | 35.1245 | 9.6761  | 29.1228 | 29.155    | 27.0    |
| 2.1176        | 4.0   | 3932 | 1.8091          | 34.5774 | 10.3811 | 27.872  | 27.8823   | 21.0    |
| 2.0186        | 5.0   | 4915 | 1.6961          | 31.3649 | 9.5216  | 26.2574 | 26.254    | 38.0    |
| 1.9291        | 6.0   | 5898 | 1.6045          | 39.5512 | 13.1811 | 30.9223 | 30.9325   | 40.0    |
| 1.8468        | 7.0   | 6881 | 1.5318          | 41.6641 | 14.5078 | 31.932  | 31.9302   | 39.0    |
| 1.7885        | 8.0   | 7864 | 1.4718          | 46.3177 | 18.1696 | 34.6558 | 34.636    | 40.0    |
| 1.7379        | 9.0   | 8847 | 1.4323          | 45.3182 | 17.9076 | 33.0305 | 33.0228   | 47.0    |
| 1.6984        | 10.0  | 9830 | 1.4167          | 46.3177 | 18.1696 | 34.6558 | 34.636    | 40.0    |


### Framework versions

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