| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: dys_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. --> |
| |
|
| | # dys_asr |
| | |
| | This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0256 |
| | - Wer: 1.0 |
| | |
| | ## 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: 0.0001 |
| | - train_batch_size: 8 |
| | - 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: 7 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 11.2099 | 1.36 | 500 | 2.6451 | 1.0 | |
| | | 2.1112 | 2.72 | 1000 | 0.5892 | 1.5389 | |
| | | 0.4699 | 4.09 | 1500 | 0.0740 | 1.0467 | |
| | | 0.1584 | 5.45 | 2000 | 0.0305 | 1.0187 | |
| | | 0.1005 | 6.81 | 2500 | 0.0256 | 1.0 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.17.0 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 1.18.3 |
| | - Tokenizers 0.13.2 |
| |
|
