| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: model_dialect |
| 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. --> |
|
|
| # model_dialect |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8947 |
| - Accuracy: 0.6975 |
| |
| ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 15 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | 6.4185 | 0.9455 | 13 | 1.5833 | 0.2979 | |
| | 6.3212 | 1.9636 | 27 | 1.5130 | 0.3118 | |
| | 5.7314 | 2.9818 | 41 | 1.3549 | 0.4711 | |
| | 5.3036 | 4.0 | 55 | 1.2348 | 0.5150 | |
| | 4.9932 | 4.9455 | 68 | 1.1989 | 0.5058 | |
| | 4.5875 | 5.9636 | 82 | 1.1178 | 0.5704 | |
| | 4.327 | 6.9818 | 96 | 1.0420 | 0.6443 | |
| | 3.9131 | 8.0 | 110 | 1.0319 | 0.6282 | |
| | 3.7915 | 8.9455 | 123 | 0.9752 | 0.6744 | |
| | 3.6121 | 9.9636 | 137 | 0.9379 | 0.6651 | |
| | 3.4393 | 10.9818 | 151 | 0.9254 | 0.6928 | |
| | 3.2218 | 12.0 | 165 | 0.9149 | 0.6767 | |
| | 3.1582 | 12.9455 | 178 | 0.9063 | 0.6952 | |
| | 2.9563 | 13.9636 | 192 | 0.8947 | 0.6975 | |
| | 2.9563 | 14.1818 | 195 | 0.8946 | 0.6975 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.0 |
| - Pytorch 2.4.0 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
| |
