---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic200
  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. -->

# hubert2BertMusic200

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: 1.4375
- Rouge1: 29.0195
- Rouge2: 7.3975
- Rougel: 20.4993
- Rougelsum: 20.3634
- Gen Len: 52.81

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.8641        | 1.0   | 1361  | 1.6566          | 29.2626 | 7.4871 | 20.625  | 20.5664   | 60.57   |
| 1.7169        | 2.0   | 2722  | 1.5973          | 26.9521 | 7.8677 | 19.7208 | 19.6278   | 50.38   |
| 1.6726        | 3.0   | 4083  | 1.5585          | 30.2177 | 7.3497 | 20.92   | 20.8207   | 60.63   |
| 1.628         | 4.0   | 5444  | 1.5186          | 28.2694 | 7.5824 | 19.796  | 19.7173   | 56.45   |
| 1.6528        | 5.0   | 6805  | 1.4964          | 27.9623 | 7.8577 | 20.0053 | 19.92     | 52.75   |
| 1.6151        | 6.0   | 8166  | 1.4718          | 30.3355 | 7.9194 | 20.9989 | 20.9562   | 55.94   |
| 1.6218        | 7.0   | 9527  | 1.4591          | 27.9266 | 7.673  | 20.1116 | 20.0565   | 54.25   |
| 1.6252        | 8.0   | 10888 | 1.4481          | 28.8105 | 7.6804 | 20.5785 | 20.4439   | 52.84   |
| 1.6551        | 9.0   | 12249 | 1.4407          | 28.4905 | 7.2818 | 20.0679 | 19.9556   | 55.59   |
| 1.6986        | 10.0  | 13610 | 1.4375          | 29.0195 | 7.3975 | 20.4993 | 20.3634   | 52.81   |


### Framework versions

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