| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - speech_commands |
| metrics: |
| - accuracy |
| model-index: |
| - name: wav2vec_final_output |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: speech_commands |
| type: speech_commands |
| config: v0.02 |
| split: test |
| args: v0.02 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.901840490797546 |
| --- |
| |
| <!-- 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. --> |
|
|
| # wav2vec_final_output |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the speech_commands dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4410 |
| - Accuracy: 0.9018 |
| |
| ## 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: 3e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.4588 | 1.0 | 663 | 1.2309 | 0.8763 | |
| | 0.6109 | 2.0 | 1326 | 0.5745 | 0.8920 | |
| | 0.4153 | 3.0 | 1989 | 0.4884 | 0.8953 | |
| | 0.3227 | 4.0 | 2652 | 0.4574 | 0.8980 | |
| | 0.2806 | 5.0 | 3315 | 0.4412 | 0.8994 | |
| | 0.207 | 6.0 | 3978 | 0.4403 | 0.9014 | |
| | 0.2226 | 7.0 | 4641 | 0.4479 | 0.8998 | |
| | 0.2577 | 8.0 | 5304 | 0.4421 | 0.9014 | |
| | 0.2188 | 9.0 | 5967 | 0.4408 | 0.9016 | |
| | 0.2082 | 10.0 | 6630 | 0.4410 | 0.9018 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
| |
