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 | |