| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: wav2vec2_960_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_960_test |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1543 |
| - Wer: 0.2187 |
|
|
| ## 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: 1000 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 6.3651 | 1.0 | 500 | 3.1433 | 1.0 | |
| | 1.7322 | 2.01 | 1000 | 0.3008 | 0.2972 | |
| | 0.5485 | 3.01 | 1500 | 0.2192 | 0.2632 | |
| | 0.4552 | 4.02 | 2000 | 0.2189 | 0.2621 | |
| | 0.3214 | 5.02 | 2500 | 0.1849 | 0.2454 | |
| | 0.264 | 6.02 | 3000 | 0.1886 | 0.2320 | |
| | 0.2718 | 7.03 | 3500 | 0.1776 | 0.2320 | |
| | 0.1725 | 8.03 | 4000 | 0.1674 | 0.2254 | |
| | 0.1656 | 9.04 | 4500 | 0.1543 | 0.2187 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.17.0 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 1.18.3 |
| - Tokenizers 0.13.2 |
| |
