---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicTest
  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. -->

# hubert2BertMusicTest

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: 5.8221
- Rouge1: 15.7283
- Rouge2: 1.0309
- Rougel: 15.2928
- Rougelsum: 15.2996
- Gen Len: 98.36

## 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-06
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 7.9557        | 1.0   | 1361 | 6.9607          | 17.7604 | 1.459  | 16.0128 | 16.0274   | 97.63   |
| 6.5119        | 2.0   | 2722 | 6.2240          | 15.1584 | 0.9606 | 14.9311 | 14.9471   | 100.0   |
| 6.103         | 3.0   | 4083 | 5.9626          | 15.066  | 0.9708 | 14.911  | 14.9342   | 100.0   |
| 5.9857        | 4.0   | 5444 | 5.8541          | 15.3603 | 0.9738 | 15.0075 | 15.0097   | 98.69   |
| 5.9223        | 5.0   | 6805 | 5.8221          | 15.7283 | 1.0309 | 15.2928 | 15.2996   | 98.36   |


### Framework versions

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