| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: colab-demo |
| 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. --> |
|
|
| # colab-demo |
|
|
| 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: 3.9910 |
| - Wer: 0.9714 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 30 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.1212 | 2.14 | 500 | 3.6706 | 1.0757 | |
| | 0.2303 | 4.27 | 1000 | 2.6849 | 1.0578 | |
| | 0.3003 | 6.41 | 1500 | 3.2261 | 1.0605 | |
| | 0.2705 | 8.55 | 2000 | 3.3483 | 1.0844 | |
| | 0.2178 | 10.68 | 2500 | 3.2000 | 1.0219 | |
| | 0.1875 | 12.82 | 3000 | 2.2454 | 1.0159 | |
| | 0.1792 | 14.96 | 3500 | 2.7510 | 0.9973 | |
| | 0.1477 | 17.09 | 4000 | 2.6716 | 0.9847 | |
| | 0.1232 | 19.23 | 4500 | 2.5939 | 0.9807 | |
| | 0.1051 | 21.37 | 5000 | 3.3308 | 0.9794 | |
| | 0.0847 | 23.5 | 5500 | 3.3430 | 0.9814 | |
| | 0.0809 | 25.64 | 6000 | 3.2566 | 0.9595 | |
| | 0.0642 | 27.78 | 6500 | 3.6392 | 0.9654 | |
| | 0.0566 | 29.91 | 7000 | 3.9910 | 0.9714 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.23.1 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 1.18.3 |
| - Tokenizers 0.13.1 |
| |
