| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: EnglishModel_STT |
| 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. --> |
|
|
| # EnglishModel_STT |
| |
| 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: 3.1938 |
| - Wer: 1.0 |
| |
| ## 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: 0.03 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 45 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 300 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---:| |
| | No log | 0.61 | 300 | 3.1938 | 1.0 | |
| | 15.6289 | 1.22 | 600 | 3.1938 | 1.0 | |
| | 0.0 | 1.84 | 900 | 3.1938 | 1.0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.11.3 |
| - Pytorch 1.10.0+cu113 |
| - Datasets 2.9.0 |
| - Tokenizers 0.10.3 |
| |
