| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: timit-supervised |
| 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. --> |
|
|
| # timit-supervised |
|
|
| This model is a fine-tuned version of [Experiments/single_dataset/timit-supervised/checkpoint-3500](https://huggingface.co/Experiments/single_dataset/timit-supervised/checkpoint-3500) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1272 |
| - Wer: 0.0532 |
|
|
| ## 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: 0.0001 |
| - 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: 1000 |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0554 | 1.77 | 500 | 0.1310 | 0.0697 | |
| | 0.0509 | 3.53 | 1000 | 0.1497 | 0.0710 | |
| | 0.038 | 5.3 | 1500 | 0.1190 | 0.0659 | |
| | 0.0328 | 7.07 | 2000 | 0.0926 | 0.0596 | |
| | 0.0247 | 8.83 | 2500 | 0.0873 | 0.0570 | |
| | 0.0229 | 10.6 | 3000 | 0.0890 | 0.0532 | |
| | 0.0183 | 12.37 | 3500 | 0.0969 | 0.0532 | |
| | 0.0326 | 14.13 | 4000 | 0.0809 | 0.0469 | |
| | 0.03 | 15.9 | 4500 | 0.0758 | 0.0444 | |
| | 0.0264 | 17.67 | 5000 | 0.0973 | 0.0520 | |
| | 0.0244 | 19.43 | 5500 | 0.1272 | 0.0532 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.14.1 |
| - Pytorch 1.10.2 |
| - Datasets 1.18.2 |
| - Tokenizers 0.10.3 |
| |
