---
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: 2.7855
- Rouge1: 20.7363
- Rouge2: 3.2333
- Rougel: 16.3746
- Rougelsum: 16.4147
- Gen Len: 59.07

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.3305        | 1.0   | 959  | 3.3111          | 22.9356 | 3.2508 | 17.366  | 17.4075   | 57.61   |
| 2.9292        | 2.0   | 1918 | 3.1469          | 20.9236 | 3.1184 | 16.3203 | 16.3454   | 55.43   |
| 2.7957        | 3.0   | 2877 | 3.0347          | 21.339  | 3.6129 | 16.8758 | 16.8954   | 60.23   |
| 2.7126        | 4.0   | 3836 | 2.9680          | 21.4247 | 3.6279 | 16.5494 | 16.5481   | 59.34   |
| 2.6505        | 5.0   | 4795 | 2.9066          | 21.3352 | 3.0876 | 16.723  | 16.7403   | 58.91   |
| 2.6375        | 6.0   | 5754 | 2.8660          | 21.6979 | 3.2778 | 17.0033 | 17.0018   | 59.94   |
| 2.5865        | 7.0   | 6713 | 2.8287          | 20.2156 | 3.2757 | 16.0352 | 16.0346   | 56.15   |
| 2.5824        | 8.0   | 7672 | 2.8060          | 22.5532 | 3.5368 | 17.4646 | 17.4785   | 60.47   |
| 2.5851        | 9.0   | 8631 | 2.7895          | 20.7575 | 3.0594 | 16.2891 | 16.3196   | 59.13   |
| 2.6084        | 10.0  | 9590 | 2.7855          | 20.7363 | 3.2333 | 16.3746 | 16.4147   | 59.07   |


### Framework versions

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