| base_model: '' | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: wav2GPT2Musicfreeze | |
| 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. --> | |
| # wav2GPT2Musicfreeze | |
| 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: 2.8045 | |
| - Rouge1: 26.2472 | |
| - Rouge2: 7.6455 | |
| - Rougel: 21.4598 | |
| - Rougelsum: 21.4417 | |
| - Gen Len: 19.0 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | |
| | 3.3004 | 1.0 | 1361 | 3.0038 | 18.3993 | 2.3008 | 17.3929 | 17.4118 | 99.0 | | |
| | 3.0128 | 2.0 | 2722 | 2.8460 | 26.8658 | 7.5641 | 21.9666 | 21.9968 | 20.48 | | |
| | 2.9507 | 3.0 | 4083 | 2.8045 | 26.2472 | 7.6455 | 21.4598 | 21.4417 | 19.0 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.2 | |
| - Tokenizers 0.13.3 | |