| --- |
| tags: |
| - automatic-speech-recognition |
| - librispeech_asr |
| - generated_from_trainer |
| - wavlm_libri_finetune |
| model-index: |
| - name: wavlm-librispeech-clean-100h-dist |
| 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. --> |
|
|
| # wavlm-libri-clean-100h-large |
|
|
| This model is a fine-tuned version of [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) on the LIBRISPEECH_ASR - CLEAN dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0601 |
| - Wer: 0.0491 |
| |
| ## 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: 0.0003 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 3.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.8069 | 0.34 | 300 | 0.7510 | 0.5809 | |
| | 0.2483 | 0.67 | 600 | 0.2023 | 0.1929 | |
| | 0.1033 | 1.01 | 900 | 0.1123 | 0.1028 | |
| | 0.0742 | 1.35 | 1200 | 0.0858 | 0.0771 | |
| | 0.057 | 1.68 | 1500 | 0.0722 | 0.0663 | |
| | 0.0421 | 2.02 | 1800 | 0.0682 | 0.0582 | |
| | 0.0839 | 2.35 | 2100 | 0.0630 | 0.0534 | |
| | 0.0307 | 2.69 | 2400 | 0.0603 | 0.0508 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.15.0.dev0 |
| - Pytorch 1.9.0+cu111 |
| - Datasets 1.16.2.dev0 |
| - Tokenizers 0.10.3 |
|
|
