| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - speech_commands |
| metrics: |
| - accuracy |
| model-index: |
| - name: wav2vec2-base-finetuned-speech_commands-v0.02 |
| 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. --> |
|
|
| # wav2vec2-base-finetuned-speech_commands-v0.02 |
| |
| 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: 0.1170 |
| - Accuracy: 0.9759 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.9963 | 1.0 | 663 | 0.7316 | 0.9612 | |
| | 0.4965 | 2.0 | 1326 | 0.2656 | 0.9672 | |
| | 0.4306 | 3.0 | 1989 | 0.1630 | 0.9720 | |
| | 0.2901 | 4.0 | 2652 | 0.1283 | 0.9753 | |
| | 0.2963 | 5.0 | 3315 | 0.1170 | 0.9759 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.27.4 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
