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---
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: 1.4375
- Rouge1: 29.0195
- Rouge2: 7.3975
- Rougel: 20.4993
- Rougelsum: 20.3634
- Gen Len: 52.81
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.8641 | 1.0 | 1361 | 1.6566 | 29.2626 | 7.4871 | 20.625 | 20.5664 | 60.57 |
| 1.7169 | 2.0 | 2722 | 1.5973 | 26.9521 | 7.8677 | 19.7208 | 19.6278 | 50.38 |
| 1.6726 | 3.0 | 4083 | 1.5585 | 30.2177 | 7.3497 | 20.92 | 20.8207 | 60.63 |
| 1.628 | 4.0 | 5444 | 1.5186 | 28.2694 | 7.5824 | 19.796 | 19.7173 | 56.45 |
| 1.6528 | 5.0 | 6805 | 1.4964 | 27.9623 | 7.8577 | 20.0053 | 19.92 | 52.75 |
| 1.6151 | 6.0 | 8166 | 1.4718 | 30.3355 | 7.9194 | 20.9989 | 20.9562 | 55.94 |
| 1.6218 | 7.0 | 9527 | 1.4591 | 27.9266 | 7.673 | 20.1116 | 20.0565 | 54.25 |
| 1.6252 | 8.0 | 10888 | 1.4481 | 28.8105 | 7.6804 | 20.5785 | 20.4439 | 52.84 |
| 1.6551 | 9.0 | 12249 | 1.4407 | 28.4905 | 7.2818 | 20.0679 | 19.9556 | 55.59 |
| 1.6986 | 10.0 | 13610 | 1.4375 | 29.0195 | 7.3975 | 20.4993 | 20.3634 | 52.81 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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