| 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: 3.5387 | |
| - Rouge1: 45.3465 | |
| - Rouge2: 20.3438 | |
| - Rougel: 32.6884 | |
| - Rougelsum: 32.6636 | |
| - Gen Len: 41.51 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 6.1077 | 1.0 | 983 | 4.0188 | 43.2477 | 20.5883 | 32.4924 | 32.4698 | 43.22 | | |
| | 4.1381 | 2.0 | 1966 | 3.6100 | 45.0943 | 20.3874 | 31.9574 | 31.9446 | 42.65 | | |
| | 3.8582 | 3.0 | 2949 | 3.5387 | 45.3465 | 20.3438 | 32.6884 | 32.6636 | 41.51 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.2 | |
| - Tokenizers 0.13.3 | |