---
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: 2.8649
- Rouge1: 24.5018
- Rouge2: 7.2557
- Rougel: 18.535
- Rougelsum: 18.4997
- Gen Len: 50.24

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.2422        | 1.0   | 1361  | 2.9931          | 25.0594 | 6.9031 | 18.6171 | 18.5836   | 48.72   |
| 3.1189        | 2.0   | 2722  | 2.9560          | 24.0397 | 7.0297 | 18.3958 | 18.3901   | 48.51   |
| 3.1167        | 3.0   | 4083  | 2.9341          | 24.2991 | 7.1132 | 18.4583 | 18.4489   | 46.43   |
| 3.1044        | 4.0   | 5444  | 2.9114          | 24.6611 | 7.2594 | 18.633  | 18.6267   | 49.35   |
| 3.1629        | 5.0   | 6805  | 2.8981          | 24.1154 | 7.3257 | 18.5844 | 18.5767   | 46.03   |
| 3.1118        | 6.0   | 8166  | 2.8856          | 24.7206 | 7.2058 | 18.615  | 18.5836   | 51.1    |
| 3.1004        | 7.0   | 9527  | 2.8762          | 24.3086 | 7.2822 | 18.5582 | 18.4717   | 48.02   |
| 3.0851        | 8.0   | 10888 | 2.8702          | 24.3488 | 7.2356 | 18.4268 | 18.3977   | 49.38   |
| 3.0963        | 9.0   | 12249 | 2.8663          | 24.4728 | 7.2887 | 18.4689 | 18.4485   | 50.51   |
| 3.0999        | 10.0  | 13610 | 2.8649          | 24.5018 | 7.2557 | 18.535  | 18.4997   | 50.24   |


### Framework versions

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