| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: m16_main |
| 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. --> |
|
|
| # m16_main |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0731 |
| - Wer: 1.6114 |
| |
| ## 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: 7 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 9.4932 | 0.96 | 500 | 3.4413 | 1.0 | |
| | 2.6724 | 1.92 | 1000 | 1.8081 | 2.5404 | |
| | 1.1058 | 2.88 | 1500 | 0.3228 | 2.0631 | |
| | 0.3056 | 3.84 | 2000 | 0.1657 | 1.8225 | |
| | 0.1465 | 4.8 | 2500 | 0.1068 | 1.6588 | |
| | 0.0925 | 5.76 | 3000 | 0.0892 | 1.6331 | |
| | 0.0669 | 6.72 | 3500 | 0.0731 | 1.6114 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.17.0 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 1.18.3 |
| - Tokenizers 0.13.2 |
|
|
