---
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: 1.5337
- Rouge1: 27.8124
- Rouge2: 8.0272
- Rougel: 20.1961
- Rougelsum: 20.0449
- Gen Len: 54.14

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.1541        | 1.0   | 1361  | 2.5808          | 26.8953 | 7.7532 | 20.2501 | 20.2057   | 48.0    |
| 2.5425        | 2.0   | 2722  | 2.2246          | 22.0654 | 4.9919 | 18.3845 | 18.4076   | 25.9    |
| 2.3282        | 3.0   | 4083  | 2.0100          | 31.8203 | 9.3519 | 22.4246 | 22.4174   | 78.89   |
| 2.1766        | 4.0   | 5444  | 1.8790          | 27.1112 | 7.992  | 19.3218 | 19.1906   | 55.62   |
| 2.1055        | 5.0   | 6805  | 1.7752          | 25.9685 | 7.9938 | 19.3583 | 19.2774   | 54.62   |
| 1.9703        | 6.0   | 8166  | 1.6945          | 32.9795 | 9.0072 | 23.469  | 23.4519   | 72.38   |
| 1.8918        | 7.0   | 9527  | 1.6316          | 26.8437 | 7.4896 | 19.49   | 19.4321   | 56.75   |
| 1.8299        | 8.0   | 10888 | 1.5808          | 26.9448 | 7.5496 | 19.4471 | 19.3467   | 55.21   |
| 1.7917        | 9.0   | 12249 | 1.5466          | 27.0708 | 7.759  | 19.7133 | 19.6295   | 56.2    |
| 1.767         | 10.0  | 13610 | 1.5337          | 27.8124 | 8.0272 | 20.1961 | 20.0449   | 54.14   |


### Framework versions

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