---
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: 2.5867
- Rouge1: 36.0915
- Rouge2: 12.101
- Rougel: 26.2764
- Rougelsum: 26.2441
- Gen Len: 25.98

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 5.4394        | 1.0   | 983  | 4.7204          | 22.0764 | 4.0274  | 20.3934 | 20.4011   | 61.19   |
| 4.8173        | 2.0   | 1966 | 4.2071          | 35.9784 | 15.4735 | 29.1397 | 29.0838   | 34.98   |
| 4.2216        | 3.0   | 2949 | 3.6499          | 39.0915 | 15.7932 | 29.828  | 29.8062   | 32.73   |
| 3.7867        | 4.0   | 3932 | 3.3676          | 38.2403 | 15.4761 | 28.9872 | 28.9768   | 28.6    |
| 3.502         | 5.0   | 4915 | 3.1133          | 41.6179 | 17.8598 | 29.2306 | 29.2435   | 29.2    |
| 3.2367        | 6.0   | 5898 | 2.8908          | 36.6649 | 13.4593 | 27.1849 | 27.2161   | 26.21   |
| 3.079         | 7.0   | 6881 | 2.7573          | 35.1153 | 11.8019 | 25.6868 | 25.6664   | 23.17   |
| 2.9658        | 8.0   | 7864 | 2.6532          | 39.4462 | 13.8979 | 28.2899 | 28.296    | 33.88   |
| 2.8801        | 9.0   | 8847 | 2.6063          | 39.2319 | 13.9339 | 28.2368 | 28.265    | 30.96   |
| 2.8509        | 10.0  | 9830 | 2.5867          | 36.0915 | 12.101  | 26.2764 | 26.2441   | 25.98   |


### Framework versions

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