| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: English_ASR |
| 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. --> |
|
|
| # English_ASR |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4971 |
| - Wer: 0.3397 |
| |
| ## 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: 32 |
| - 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: 30 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.3432 | 4.0 | 500 | 1.1711 | 0.7767 | |
| | 0.5691 | 8.0 | 1000 | 0.4613 | 0.4357 | |
| | 0.2182 | 12.0 | 1500 | 0.4715 | 0.3853 | |
| | 0.1267 | 16.0 | 2000 | 0.4307 | 0.3607 | |
| | 0.0846 | 20.0 | 2500 | 0.4971 | 0.3537 | |
| | 0.0608 | 24.0 | 3000 | 0.4712 | 0.3419 | |
| | 0.0457 | 28.0 | 3500 | 0.4971 | 0.3397 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.11.3 |
| - Pytorch 1.9.1 |
| - Datasets 1.13.3 |
| - Tokenizers 0.10.3 |
|
|
