---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic100
  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. -->

# hubert2BertMusic100

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: 2.7504
- Rouge1: 22.5784
- Rouge2: 3.4041
- Rougel: 17.4088
- Rougelsum: 17.4611
- Gen Len: 61.17

## 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: 5e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.6121        | 1.0   | 959  | 4.4012          | 23.8355 | 3.7484 | 17.1657 | 17.2033   | 63.29   |
| 3.7979        | 2.0   | 1918 | 3.9640          | 22.1613 | 2.7656 | 16.2795 | 16.3033   | 60.23   |
| 3.4556        | 3.0   | 2877 | 3.6464          | 23.4398 | 3.3542 | 17.9256 | 17.9306   | 64.06   |
| 3.2176        | 4.0   | 3836 | 3.3747          | 22.1775 | 3.0859 | 17.307  | 17.3082   | 61.06   |
| 3.0363        | 5.0   | 4795 | 3.1786          | 21.1054 | 2.7657 | 16.8919 | 16.8975   | 54.02   |
| 2.9271        | 6.0   | 5754 | 3.0308          | 20.891  | 2.7159 | 16.5669 | 16.5785   | 43.6    |
| 2.7874        | 7.0   | 6713 | 2.9043          | 20.275  | 2.7398 | 16.1674 | 16.203    | 56.45   |
| 2.7099        | 8.0   | 7672 | 2.8298          | 21.2601 | 2.998  | 16.5244 | 16.5281   | 58.98   |
| 2.6453        | 9.0   | 8631 | 2.7744          | 22.4683 | 2.8918 | 17.1441 | 17.1683   | 55.41   |
| 2.6149        | 10.0  | 9590 | 2.7504          | 22.5784 | 3.4041 | 17.4088 | 17.4611   | 61.17   |


### Framework versions

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