| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - superb |
| metrics: |
| - wer |
| model-index: |
| - name: wav2vec2-base-speech-recoginition |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: superb |
| type: superb |
| config: asr |
| split: validation |
| args: asr |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.9984947315604616 |
| --- |
| |
| <!-- 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. --> |
|
|
| # wav2vec2-base-speech-recoginition |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.0532 |
| - Wer: 0.9985 |
|
|
| ## 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: 0.002 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 2.9304 | 1.85 | 500 | 4.0532 | 0.9985 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.35.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
