| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - superb |
| model-index: |
| - name: Hubert-base-superb |
| 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. --> |
|
|
| # Hubert-base-superb |
|
|
| This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the superb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6712 |
| - Wer: 0.4781 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 250 |
| - num_epochs: 7 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 1.7884 | 0.8 | 500 | 0.8900 | 0.6940 | |
| | 0.6603 | 1.6 | 1000 | 0.7378 | 0.6103 | |
| | 0.5401 | 2.4 | 1500 | 0.7107 | 0.5762 | |
| | 0.4604 | 3.2 | 2000 | 0.6563 | 0.5320 | |
| | 0.3936 | 4.0 | 2500 | 0.6315 | 0.5244 | |
| | 0.3186 | 4.8 | 3000 | 0.6525 | 0.5007 | |
| | 0.2727 | 5.6 | 3500 | 0.6553 | 0.4855 | |
| | 0.2296 | 6.4 | 4000 | 0.6712 | 0.4781 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.20.1 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.3.2 |
| - Tokenizers 0.12.1 |
| |
