---
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: 3.4294
- Rouge1: 26.8823
- Rouge2: 7.1505
- Rougel: 19.9459
- Rougelsum: 19.9017
- Gen Len: 37.3

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.5416        | 1.0   | 1361 | 3.9241          | 29.9096 | 8.607  | 22.4101 | 22.3886   | 49.94   |
| 3.8456        | 2.0   | 2722 | 3.5256          | 28.5203 | 7.5218 | 20.9604 | 20.8949   | 36.84   |
| 3.6709        | 3.0   | 4083 | 3.4294          | 26.8823 | 7.1505 | 19.9459 | 19.9017   | 37.3    |


### Framework versions

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