| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: wav2vec2-ru | |
| 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-ru | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4433 | |
| - Wer: 0.4006 | |
| ## 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: 1e-06 | |
| - train_batch_size: 1 | |
| - 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: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 0.5005 | 0.21 | 1000 | 0.4470 | 0.4050 | | |
| | 0.4896 | 0.42 | 2000 | 0.4571 | 0.4006 | | |
| | 0.4753 | 0.64 | 3000 | 0.4448 | 0.3989 | | |
| | 0.4759 | 0.85 | 4000 | 0.4433 | 0.4006 | | |
| ### Framework versions | |
| - Transformers 4.20.0 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |