| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: wav2vec2_test |
| 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_test |
| |
| 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: 91.1661 |
| - Wer: 0.5714 |
| |
| ## 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: 8 |
| - 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: 100 |
| - num_epochs: 1000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 11.9459 | 100.0 | 100 | 46.9901 | 1.0 | |
| | 3.2175 | 200.0 | 200 | 73.0950 | 1.0 | |
| | 1.8117 | 300.0 | 300 | 78.4884 | 0.6735 | |
| | 1.3694 | 400.0 | 400 | 84.0168 | 0.6327 | |
| | 1.1392 | 500.0 | 500 | 85.2083 | 0.5918 | |
| | 0.979 | 600.0 | 600 | 88.9109 | 0.5918 | |
| | 0.8917 | 700.0 | 700 | 89.0310 | 0.5918 | |
| | 0.8265 | 800.0 | 800 | 90.0659 | 0.6122 | |
| | 0.769 | 900.0 | 900 | 91.8476 | 0.5714 | |
| | 0.7389 | 1000.0 | 1000 | 91.1661 | 0.5714 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.17.0 |
| - Pytorch 1.10.2 |
| - Datasets 1.18.3 |
| - Tokenizers 0.11.6 |
|
|
