---
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: 2.6404
- Rouge1: 22.2447
- Rouge2: 3.1014
- Rougel: 17.3915
- Rougelsum: 17.384
- Gen Len: 60.98

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.1772        | 1.0   | 959  | 3.1357          | 21.4108 | 2.939  | 16.5248 | 16.5394   | 60.88   |
| 2.7873        | 2.0   | 1918 | 2.9875          | 24.3504 | 4.0795 | 18.7327 | 18.7742   | 69.0    |
| 2.6552        | 3.0   | 2877 | 2.8820          | 21.8354 | 3.0916 | 17.496  | 17.492    | 74.39   |
| 2.581         | 4.0   | 3836 | 2.8149          | 21.4271 | 3.4575 | 17.1908 | 17.2267   | 69.41   |
| 2.5259        | 5.0   | 4795 | 2.7547          | 23.1425 | 3.374  | 17.9846 | 18.0169   | 64.79   |
| 2.5174        | 6.0   | 5754 | 2.7169          | 23.3286 | 3.4459 | 17.874  | 17.8877   | 69.12   |
| 2.4736        | 7.0   | 6713 | 2.6804          | 21.7065 | 3.0158 | 17.2875 | 17.2913   | 60.51   |
| 2.4705        | 8.0   | 7672 | 2.6585          | 21.4536 | 3.1165 | 17.0642 | 17.0887   | 60.39   |
| 2.4776        | 9.0   | 8631 | 2.6448          | 22.8956 | 3.4093 | 17.6982 | 17.6927   | 63.92   |
| 2.5006        | 10.0  | 9590 | 2.6404          | 22.2447 | 3.1014 | 17.3915 | 17.384    | 60.98   |


### Framework versions

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