| | --- |
| | base_model: '' |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: hubert2BertMusicTest |
| | 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. --> |
| |
|
| | # hubert2BertMusicTest |
| |
|
| | 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: 5.8221 |
| | - Rouge1: 15.7283 |
| | - Rouge2: 1.0309 |
| | - Rougel: 15.2928 |
| | - Rougelsum: 15.2996 |
| | - Gen Len: 98.36 |
| |
|
| | ## 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: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | 7.9557 | 1.0 | 1361 | 6.9607 | 17.7604 | 1.459 | 16.0128 | 16.0274 | 97.63 | |
| | | 6.5119 | 2.0 | 2722 | 6.2240 | 15.1584 | 0.9606 | 14.9311 | 14.9471 | 100.0 | |
| | | 6.103 | 3.0 | 4083 | 5.9626 | 15.066 | 0.9708 | 14.911 | 14.9342 | 100.0 | |
| | | 5.9857 | 4.0 | 5444 | 5.8541 | 15.3603 | 0.9738 | 15.0075 | 15.0097 | 98.69 | |
| | | 5.9223 | 5.0 | 6805 | 5.8221 | 15.7283 | 1.0309 | 15.2928 | 15.2996 | 98.36 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.2 |
| | - Tokenizers 0.13.3 |
| |
|
