| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: ipad-sample |
| 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. --> |
|
|
| # ipad-sample |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5112 |
| - Accuracy: 0.8636 |
|
|
| ## 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6909 | 1.0 | 6 | 0.7388 | 0.1818 | |
| | 0.6666 | 2.0 | 12 | 0.8264 | 0.1818 | |
| | 0.6935 | 3.0 | 18 | 0.8029 | 0.1818 | |
| | 0.5943 | 4.0 | 24 | 0.7576 | 0.1818 | |
| | 0.5859 | 5.0 | 30 | 0.6853 | 0.5 | |
| | 0.5545 | 6.0 | 36 | 0.6266 | 0.6818 | |
| | 0.511 | 7.0 | 42 | 0.5796 | 0.7273 | |
| | 0.4533 | 8.0 | 48 | 0.5119 | 0.7273 | |
| | 0.4505 | 9.0 | 54 | 0.4820 | 0.8636 | |
| | 0.3853 | 10.0 | 60 | 0.5112 | 0.8636 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
