| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base-960h |
| tags: |
| - generated_from_trainer |
| datasets: |
| - speech_commands |
| metrics: |
| - accuracy |
| model-index: |
| - name: wav2vec2-base-960h-speech-commands-h |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: speech_commands |
| type: speech_commands |
| config: v0.02 |
| split: None |
| args: v0.02 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.0 |
| --- |
| |
| <!-- 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-960h-speech-commands-h |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the speech_commands dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: nan |
| - Accuracy: 0.0 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 48 |
| - eval_batch_size: 48 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.0 | 1.0 | 824 | nan | 0.0 | |
| | 0.0 | 2.0 | 1648 | nan | 0.0 | |
| | 0.0 | 3.0 | 2472 | nan | 0.0 | |
| | 0.0 | 4.0 | 3296 | nan | 0.0 | |
| | 0.0 | 5.0 | 4120 | nan | 0.0 | |
| | 0.0 | 6.0 | 4944 | nan | 0.0 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.43.3 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.19.1 |
|
|
