---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicwithNewS
  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. -->

# hubert2BertMusicwithNewS

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: 3.5387
- Rouge1: 45.3465
- Rouge2: 20.3438
- Rougel: 32.6884
- Rougelsum: 32.6636
- Gen Len: 41.51

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 6.1077        | 1.0   | 983  | 4.0188          | 43.2477 | 20.5883 | 32.4924 | 32.4698   | 43.22   |
| 4.1381        | 2.0   | 1966 | 3.6100          | 45.0943 | 20.3874 | 31.9574 | 31.9446   | 42.65   |
| 3.8582        | 3.0   | 2949 | 3.5387          | 45.3465 | 20.3438 | 32.6884 | 32.6636   | 41.51   |


### Framework versions

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