---
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: 1.4016
- Rouge1: 29.7694
- Rouge2: 6.8881
- Rougel: 20.8382
- Rougelsum: 20.7475
- Gen Len: 54.68

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.5312        | 1.0   | 1361  | 1.4350          | 29.7078 | 7.6167 | 21.0154 | 20.9599   | 57.96   |
| 1.479         | 2.0   | 2722  | 1.4311          | 29.5523 | 7.5127 | 20.8746 | 20.7455   | 55.77   |
| 1.4774        | 3.0   | 4083  | 1.4296          | 29.4948 | 7.41   | 20.6514 | 20.531    | 55.12   |
| 1.4663        | 4.0   | 5444  | 1.4239          | 28.8275 | 6.8898 | 20.1906 | 20.1528   | 54.0    |
| 1.5195        | 5.0   | 6805  | 1.4219          | 31.4265 | 7.8481 | 21.8264 | 21.7471   | 53.33   |
| 1.5115        | 6.0   | 8166  | 1.4177          | 29.8254 | 6.8757 | 21.0269 | 20.9813   | 53.45   |
| 1.5424        | 7.0   | 9527  | 1.4154          | 29.9847 | 7.0621 | 20.9479 | 20.9081   | 54.73   |
| 1.5635        | 8.0   | 10888 | 1.4131          | 29.8807 | 7.1097 | 20.9508 | 20.902    | 53.83   |
| 1.6138        | 9.0   | 12249 | 1.4113          | 29.1418 | 6.725  | 20.4919 | 20.404    | 55.46   |
| 1.676         | 10.0  | 13610 | 1.4094          | 29.4633 | 6.7466 | 20.5997 | 20.5457   | 54.8    |
| 1.6447        | 11.0  | 14971 | 1.4087          | 30.1765 | 6.7892 | 20.9128 | 20.8485   | 54.75   |
| 1.6683        | 12.0  | 16332 | 1.4074          | 29.7832 | 6.7904 | 20.6381 | 20.5824   | 54.86   |
| 1.6927        | 13.0  | 17693 | 1.4056          | 29.5094 | 6.6848 | 20.5682 | 20.4713   | 53.62   |
| 1.6567        | 14.0  | 19054 | 1.4040          | 29.674  | 6.7272 | 20.7709 | 20.7017   | 52.78   |
| 1.672         | 15.0  | 20415 | 1.4032          | 29.447  | 6.6842 | 20.707  | 20.6147   | 53.81   |
| 1.6468        | 16.0  | 21776 | 1.4032          | 30.1311 | 7.1838 | 21.0813 | 21.0099   | 54.62   |
| 1.6661        | 17.0  | 23137 | 1.4022          | 30.1715 | 7.1566 | 21.0716 | 20.9984   | 54.95   |
| 1.668         | 18.0  | 24498 | 1.4020          | 30.1766 | 7.1429 | 21.1461 | 21.0611   | 54.56   |
| 1.6448        | 19.0  | 25859 | 1.4016          | 29.5354 | 6.7505 | 20.5517 | 20.4719   | 54.34   |
| 1.6647        | 20.0  | 27220 | 1.4016          | 29.7694 | 6.8881 | 20.8382 | 20.7475   | 54.68   |


### Framework versions

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