| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - common_voice | |
| model-index: | |
| - name: wav2vec2-base-gn-demo | |
| 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-base-gn-demo | |
| This model is a fine-tuned version of [azuur/wav2vec2-base-gn-demo](https://huggingface.co/azuur/wav2vec2-base-gn-demo) on the common_voice dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.2750 | |
| - Wer: 0.7912 | |
| ## 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: 0.0002 | |
| - 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: 300 | |
| - num_epochs: 55 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 0.07 | 13.16 | 500 | 1.3797 | 0.8293 | | |
| | 0.0711 | 26.32 | 1000 | 1.2878 | 0.8277 | | |
| | 0.0454 | 39.47 | 1500 | 1.2782 | 0.7973 | | |
| | 0.0281 | 52.63 | 2000 | 1.2750 | 0.7912 | | |
| ### Framework versions | |
| - Transformers 4.11.3 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.18.3 | |
| - Tokenizers 0.10.3 | |