| license: cc0-1.0 | |
| tags: | |
| - automatic-speech-recognition | |
| - NbAiLab/NPSC | |
| - generated_from_trainer | |
| datasets: | |
| - npsc | |
| model-index: | |
| - name: xls-npsc-oh | |
| 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-npsc-oh | |
| This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co./KBLab/wav2vec2-large-voxrex) on the NBAILAB/NPSC - 48K_MP3 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2106 | |
| - Wer: 0.8586 | |
| ## 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: 5e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1000 | |
| - num_epochs: 5.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 2.1093 | 2.61 | 1000 | 0.2572 | 0.9293 | | |
| ### Framework versions | |
| - Transformers 4.16.0.dev0 | |
| - Pytorch 1.10.1+cu102 | |
| - Datasets 1.18.1.dev0 | |
| - Tokenizers 0.11.0 | |