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---
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: 3.4294
- Rouge1: 26.8823
- Rouge2: 7.1505
- Rougel: 19.9459
- Rougelsum: 19.9017
- Gen Len: 37.3
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.5416 | 1.0 | 1361 | 3.9241 | 29.9096 | 8.607 | 22.4101 | 22.3886 | 49.94 |
| 3.8456 | 2.0 | 2722 | 3.5256 | 28.5203 | 7.5218 | 20.9604 | 20.8949 | 36.84 |
| 3.6709 | 3.0 | 4083 | 3.4294 | 26.8823 | 7.1505 | 19.9459 | 19.9017 | 37.3 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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