---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicwithNewS
  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. -->

# hubert2BertMusicwithNewS

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: 4.9900
- Rouge1: 26.5585
- Rouge2: 5.0275
- Rougel: 20.5156
- Rougelsum: 20.5605
- Gen Len: 69.0

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 5.4468        | 1.0   | 959  | 5.3074          | 26.4524 | 5.1085 | 20.4049 | 20.4327   | 65.39   |
| 4.817         | 2.0   | 1918 | 5.0738          | 26.1836 | 5.119  | 20.2888 | 20.2917   | 64.66   |
| 4.6359        | 3.0   | 2877 | 4.9900          | 26.5585 | 5.0275 | 20.5156 | 20.5605   | 69.0    |


### Framework versions

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