---
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: 4.4139
- Rouge1: 24.3794
- Rouge2: 4.9412
- Rougel: 19.205
- Rougelsum: 19.2107
- Gen Len: 51.16

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.4454        | 1.0   | 959  | 4.6265          | 24.4595 | 4.7745 | 19.2604 | 19.2988   | 57.33   |
| 4.1901        | 2.0   | 1918 | 4.5567          | 24.5473 | 4.7264 | 18.9617 | 18.9986   | 53.44   |
| 4.1365        | 3.0   | 2877 | 4.5116          | 24.6373 | 4.3808 | 19.1493 | 19.1806   | 54.87   |
| 4.1127        | 4.0   | 3836 | 4.4887          | 23.9718 | 4.6223 | 18.9014 | 18.9082   | 51.74   |
| 4.0897        | 5.0   | 4795 | 4.4625          | 24.0425 | 4.5823 | 18.9648 | 18.9859   | 51.82   |
| 4.1068        | 6.0   | 5754 | 4.4463          | 24.2117 | 4.6975 | 19.0849 | 19.0801   | 52.0    |
| 4.0648        | 7.0   | 6713 | 4.4291          | 24.9063 | 4.9874 | 19.525  | 19.5332   | 51.54   |
| 4.0609        | 8.0   | 7672 | 4.4235          | 24.6819 | 4.9386 | 19.4017 | 19.4192   | 51.44   |
| 4.0465        | 9.0   | 8631 | 4.4159          | 24.7269 | 4.9681 | 19.2497 | 19.2745   | 51.34   |
| 4.0713        | 10.0  | 9590 | 4.4139          | 24.3794 | 4.9412 | 19.205  | 19.2107   | 51.16   |


### Framework versions

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