---
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: 4.5551
- Rouge1: 26.6611
- Rouge2: 5.852
- Rougel: 20.3973
- Rougelsum: 20.4079
- Gen Len: 56.63

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 5.298         | 1.0   | 959  | 5.1337          | 27.155  | 5.4713 | 20.6012 | 20.5867   | 61.39   |
| 4.6449        | 2.0   | 1918 | 4.8458          | 27.9626 | 6.2825 | 21.4129 | 21.4275   | 55.85   |
| 4.4099        | 3.0   | 2877 | 4.6840          | 26.9532 | 5.7634 | 20.6746 | 20.6841   | 57.92   |
| 4.2794        | 4.0   | 3836 | 4.5906          | 26.7541 | 5.9512 | 20.5233 | 20.5886   | 55.42   |
| 4.1952        | 5.0   | 4795 | 4.5551          | 26.6611 | 5.852  | 20.3973 | 20.4079   | 56.63   |


### Framework versions

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