---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicTestL5e7
  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. -->

# hubert2BertMusicTestL5e7

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: 2.2639
- Rouge1: 28.296
- Rouge2: 7.1646
- Rougel: 20.2478
- Rougelsum: 20.191
- Gen Len: 58.92

## 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: 3e-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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.7701        | 1.0   | 1361 | 3.6345          | 29.4772 | 6.5481 | 21.1446 | 21.1031   | 51.04   |
| 3.3104        | 2.0   | 2722 | 2.9389          | 24.7952 | 6.9239 | 19.4001 | 19.4318   | 31.01   |
| 2.9088        | 3.0   | 4083 | 2.6221          | 29.6422 | 7.2219 | 21.0592 | 21.0778   | 57.25   |
| 2.7274        | 4.0   | 5444 | 2.4599          | 28.0386 | 8.311  | 20.629  | 20.6316   | 50.06   |
| 2.6417        | 5.0   | 6805 | 2.3503          | 28.7788 | 8.8058 | 21.2309 | 21.2204   | 57.54   |
| 2.5002        | 6.0   | 8166 | 2.2905          | 31.5292 | 8.3235 | 22.2364 | 22.2584   | 65.09   |
| 2.4481        | 7.0   | 9527 | 2.2639          | 28.296  | 7.1646 | 20.2478 | 20.191    | 58.92   |


### Framework versions

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