---
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: 1.4721
- Rouge1: 26.5915
- Rouge2: 7.5185
- Rougel: 18.8807
- Rougelsum: 18.8279
- Gen Len: 56.16

## 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-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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.9005        | 1.0   | 1361  | 1.6875          | 27.9936 | 8.03   | 19.6327 | 19.583    | 52.7    |
| 1.7493        | 2.0   | 2722  | 1.6272          | 26.1413 | 7.7635 | 18.9764 | 18.8667   | 53.6    |
| 1.7037        | 3.0   | 4083  | 1.5873          | 27.1884 | 7.3279 | 19.607  | 19.6344   | 56.55   |
| 1.6621        | 4.0   | 5444  | 1.5505          | 31.0103 | 8.788  | 22.4097 | 22.3902   | 60.45   |
| 1.6824        | 5.0   | 6805  | 1.5272          | 26.0334 | 7.709  | 18.5954 | 18.5607   | 54.87   |
| 1.6451        | 6.0   | 8166  | 1.5073          | 30.49   | 7.7309 | 21.4853 | 21.537    | 65.1    |
| 1.6502        | 7.0   | 9527  | 1.4947          | 30.1318 | 8.4307 | 21.6758 | 21.7107   | 61.48   |
| 1.6588        | 8.0   | 10888 | 1.4809          | 27.3167 | 7.7378 | 19.4021 | 19.3359   | 57.38   |
| 1.6896        | 9.0   | 12249 | 1.4737          | 26.7199 | 7.5034 | 18.9846 | 18.9279   | 55.96   |
| 1.7313        | 10.0  | 13610 | 1.4721          | 26.5915 | 7.5185 | 18.8807 | 18.8279   | 56.16   |


### Framework versions

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