---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicwithNewS10
  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. -->

# hubert2BertMusicwithNewS10

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: 2.9826
- Rouge1: 41.7849
- Rouge2: 16.827
- Rougel: 30.2876
- Rougelsum: 30.3452
- Gen Len: 33.09

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.934         | 1.0   | 983  | 3.2674          | 39.1931 | 15.4549 | 29.0372 | 29.0798   | 33.06   |
| 3.4613        | 2.0   | 1966 | 3.1359          | 39.1184 | 16.7176 | 30.4367 | 30.485    | 30.61   |
| 3.3732        | 3.0   | 2949 | 3.0870          | 37.745  | 15.4165 | 29.4667 | 29.4787   | 28.73   |
| 3.3173        | 4.0   | 3932 | 3.0563          | 42.9662 | 18.0767 | 31.2519 | 31.3076   | 33.5    |
| 3.308         | 5.0   | 4915 | 3.0260          | 42.4731 | 17.6266 | 30.6927 | 30.7491   | 33.75   |
| 3.2768        | 6.0   | 5898 | 3.0119          | 41.9782 | 17.0076 | 30.2951 | 30.3719   | 33.35   |
| 3.2744        | 7.0   | 6881 | 2.9986          | 42.209  | 17.1482 | 30.7224 | 30.7751   | 33.41   |
| 3.2581        | 8.0   | 7864 | 2.9907          | 42.1508 | 17.2078 | 30.638  | 30.7119   | 33.24   |
| 3.236         | 9.0   | 8847 | 2.9853          | 41.8212 | 17.0602 | 30.3253 | 30.3585   | 33.08   |
| 3.2526        | 10.0  | 9830 | 2.9826          | 41.7849 | 16.827  | 30.2876 | 30.3452   | 33.09   |


### Framework versions

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