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---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicwithNewS10
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. -->
# hubert2BertMusicwithNewS10
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: 2.9826
- Rouge1: 41.7849
- Rouge2: 16.827
- Rougel: 30.2876
- Rougelsum: 30.3452
- Gen Len: 33.09
## 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-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 3.934 | 1.0 | 983 | 3.2674 | 39.1931 | 15.4549 | 29.0372 | 29.0798 | 33.06 |
| 3.4613 | 2.0 | 1966 | 3.1359 | 39.1184 | 16.7176 | 30.4367 | 30.485 | 30.61 |
| 3.3732 | 3.0 | 2949 | 3.0870 | 37.745 | 15.4165 | 29.4667 | 29.4787 | 28.73 |
| 3.3173 | 4.0 | 3932 | 3.0563 | 42.9662 | 18.0767 | 31.2519 | 31.3076 | 33.5 |
| 3.308 | 5.0 | 4915 | 3.0260 | 42.4731 | 17.6266 | 30.6927 | 30.7491 | 33.75 |
| 3.2768 | 6.0 | 5898 | 3.0119 | 41.9782 | 17.0076 | 30.2951 | 30.3719 | 33.35 |
| 3.2744 | 7.0 | 6881 | 2.9986 | 42.209 | 17.1482 | 30.7224 | 30.7751 | 33.41 |
| 3.2581 | 8.0 | 7864 | 2.9907 | 42.1508 | 17.2078 | 30.638 | 30.7119 | 33.24 |
| 3.236 | 9.0 | 8847 | 2.9853 | 41.8212 | 17.0602 | 30.3253 | 30.3585 | 33.08 |
| 3.2526 | 10.0 | 9830 | 2.9826 | 41.7849 | 16.827 | 30.2876 | 30.3452 | 33.09 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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