| | --- |
| | license: cc0-1.0 |
| | tags: |
| | - automatic-speech-recognition |
| | - NbAiLab/NPSC |
| | - generated_from_trainer |
| | datasets: |
| | - npsc |
| | base_model: KBLab/wav2vec2-large-voxrex |
| | 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 |
| | |
