---
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: 2.5792
- Rouge1: 23.4569
- Rouge2: 3.8165
- Rougel: 17.8862
- Rougelsum: 17.8911
- Gen Len: 70.52

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.4082        | 1.0   | 959  | 4.1636          | 20.1898 | 2.4411 | 15.8204 | 15.8093   | 58.03   |
| 3.5803        | 2.0   | 1918 | 3.7122          | 19.0258 | 2.1105 | 14.6927 | 14.6946   | 55.63   |
| 3.2398        | 3.0   | 2877 | 3.3901          | 22.342  | 2.9157 | 17.4805 | 17.4664   | 59.7    |
| 3.0207        | 4.0   | 3836 | 3.1438          | 21.7114 | 3.184  | 16.7918 | 16.7931   | 65.44   |
| 2.8507        | 5.0   | 4795 | 2.9729          | 20.046  | 2.5204 | 16.3012 | 16.3135   | 55.45   |
| 2.752         | 6.0   | 5754 | 2.8351          | 22.2957 | 3.4475 | 17.148  | 17.1805   | 74.22   |
| 2.6309        | 7.0   | 6713 | 2.7366          | 20.3547 | 2.5414 | 15.6025 | 15.5605   | 62.23   |
| 2.5549        | 8.0   | 7672 | 2.6554          | 23.3943 | 3.8971 | 18.0303 | 18.0104   | 76.83   |
| 2.499         | 9.0   | 8631 | 2.6016          | 22.204  | 3.5576 | 17.2275 | 17.2721   | 81.08   |
| 2.4656        | 10.0  | 9590 | 2.5792          | 23.4569 | 3.8165 | 17.8862 | 17.8911   | 70.52   |


### Framework versions

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