| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: XLS-R_timit_en |
| 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. --> |
|
|
| # XLS-R_timit_en |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3799 |
| - Wer: 0.3019 |
|
|
| ## 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: 30 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.5228 | 3.3 | 1000 | 0.9889 | 0.8394 | |
| | 0.6617 | 6.6 | 2000 | 0.3566 | 0.4027 | |
| | 0.3177 | 9.9 | 3000 | 0.3112 | 0.3606 | |
| | 0.2262 | 13.2 | 4000 | 0.3521 | 0.3324 | |
| | 0.1683 | 16.5 | 5000 | 0.3563 | 0.3260 | |
| | 0.137 | 19.8 | 6000 | 0.3605 | 0.3149 | |
| | 0.1139 | 23.1 | 7000 | 0.3768 | 0.3069 | |
| | 0.1068 | 26.4 | 8000 | 0.3643 | 0.3044 | |
| | 0.0897 | 29.7 | 9000 | 0.3799 | 0.3019 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.17.0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 1.18.3 |
| - Tokenizers 0.13.0 |
| |
