---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic200
  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. -->

# hubert2BertMusic200

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: 2.1978
- Rouge1: 43.2017
- Rouge2: 16.8011
- Rougel: 28.9318
- Rougelsum: 28.9902
- Gen Len: 36.25

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 5.4406        | 1.0   | 983  | 4.3610          | 34.3659 | 11.8654 | 26.2895 | 26.2889   | 22.06   |
| 3.9853        | 2.0   | 1966 | 3.1187          | 43.3423 | 19.8183 | 31.8791 | 31.8738   | 45.21   |
| 3.269         | 3.0   | 2949 | 2.8130          | 38.1887 | 14.2128 | 29.0488 | 29.127    | 28.63   |
| 3.0045        | 4.0   | 3932 | 2.6330          | 37.1625 | 14.669  | 27.8372 | 27.8784   | 27.94   |
| 2.8579        | 5.0   | 4915 | 2.5208          | 41.7213 | 18.5002 | 29.5178 | 29.5437   | 35.87   |
| 2.721         | 6.0   | 5898 | 2.3881          | 41.2077 | 16.757  | 28.387  | 28.4421   | 29.84   |
| 2.6466        | 7.0   | 6881 | 2.3244          | 38.8737 | 14.5737 | 27.2573 | 27.2661   | 32.52   |
| 2.5749        | 8.0   | 7864 | 2.2520          | 41.5266 | 16.128  | 28.4608 | 28.4961   | 34.55   |
| 2.5065        | 9.0   | 8847 | 2.2142          | 44.3673 | 17.3337 | 29.6919 | 29.7362   | 39.92   |
| 2.4872        | 10.0  | 9830 | 2.1978          | 43.2017 | 16.8011 | 28.9318 | 28.9902   | 36.25   |


### Framework versions

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