| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - coscan-speech2 | |
| metrics: | |
| - accuracy | |
| base_model: facebook/wav2vec2-base | |
| model-index: | |
| - name: wav2vec2-base-coscan-no-area | |
| results: | |
| - task: | |
| type: audio-classification | |
| name: Audio Classification | |
| dataset: | |
| name: Coscan Speech | |
| type: NbAiLab/coscan-speech | |
| metrics: | |
| - type: accuracy | |
| value: 0.8360824410790649 | |
| name: Test Accuracy | |
| - type: accuracy | |
| value: 0.9485961489524133 | |
| name: Validation Accuracy | |
| <!-- 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-coscan-no-area | |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the coscan-speech2 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3398 | |
| - Accuracy: 0.9486 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - 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: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.0015 | 1.0 | 6468 | 0.3398 | 0.9486 | | |
| ### Framework versions | |
| - Transformers 4.22.0.dev0 | |
| - Pytorch 1.10.1+cu102 | |
| - Datasets 2.4.1.dev0 | |
| - Tokenizers 0.12.1 |