---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic100
  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. -->

# hubert2BertMusic100

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: 1.5608
- Rouge1: 26.8788
- Rouge2: 7.7875
- Rougel: 19.0867
- Rougelsum: 19.0059
- Gen Len: 52.68

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.184         | 1.0   | 1361  | 2.6115          | 25.0008 | 7.7596 | 19.0824 | 19.0223   | 46.0    |
| 2.5657        | 2.0   | 2722  | 2.2430          | 25.4109 | 4.9388 | 18.851  | 18.8614   | 52.19   |
| 2.3496        | 3.0   | 4083  | 2.0430          | 26.517  | 7.6506 | 18.9172 | 18.8696   | 56.45   |
| 2.2011        | 4.0   | 5444  | 1.9079          | 27.1096 | 7.7201 | 19.2615 | 19.2315   | 52.62   |
| 2.1264        | 5.0   | 6805  | 1.8010          | 25.8208 | 6.5427 | 18.2762 | 18.2818   | 56.84   |
| 1.9913        | 6.0   | 8166  | 1.7185          | 32.4549 | 8.4658 | 22.9767 | 22.9609   | 67.77   |
| 1.9133        | 7.0   | 9527  | 1.6602          | 26.8271 | 7.4957 | 19.093  | 19.0392   | 50.07   |
| 1.8605        | 8.0   | 10888 | 1.6075          | 29.8012 | 8.5321 | 21.3029 | 21.2936   | 63.94   |
| 1.8227        | 9.0   | 12249 | 1.5714          | 27.1868 | 7.8113 | 19.1224 | 19.0768   | 57.59   |
| 1.7965        | 10.0  | 13610 | 1.5608          | 26.8788 | 7.7875 | 19.0867 | 19.0059   | 52.68   |


### Framework versions

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