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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: 2.8649
- Rouge1: 24.5018
- Rouge2: 7.2557
- Rougel: 18.535
- Rougelsum: 18.4997
- Gen Len: 50.24
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.2422 | 1.0 | 1361 | 2.9931 | 25.0594 | 6.9031 | 18.6171 | 18.5836 | 48.72 |
| 3.1189 | 2.0 | 2722 | 2.9560 | 24.0397 | 7.0297 | 18.3958 | 18.3901 | 48.51 |
| 3.1167 | 3.0 | 4083 | 2.9341 | 24.2991 | 7.1132 | 18.4583 | 18.4489 | 46.43 |
| 3.1044 | 4.0 | 5444 | 2.9114 | 24.6611 | 7.2594 | 18.633 | 18.6267 | 49.35 |
| 3.1629 | 5.0 | 6805 | 2.8981 | 24.1154 | 7.3257 | 18.5844 | 18.5767 | 46.03 |
| 3.1118 | 6.0 | 8166 | 2.8856 | 24.7206 | 7.2058 | 18.615 | 18.5836 | 51.1 |
| 3.1004 | 7.0 | 9527 | 2.8762 | 24.3086 | 7.2822 | 18.5582 | 18.4717 | 48.02 |
| 3.0851 | 8.0 | 10888 | 2.8702 | 24.3488 | 7.2356 | 18.4268 | 18.3977 | 49.38 |
| 3.0963 | 9.0 | 12249 | 2.8663 | 24.4728 | 7.2887 | 18.4689 | 18.4485 | 50.51 |
| 3.0999 | 10.0 | 13610 | 2.8649 | 24.5018 | 7.2557 | 18.535 | 18.4997 | 50.24 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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