| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - common_voice_11_0 | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: mms-1b-l1107-nan | |
| results: | |
| - task: | |
| name: Automatic Speech Recognition | |
| type: automatic-speech-recognition | |
| dataset: | |
| name: common_voice_11_0 | |
| type: common_voice_11_0 | |
| config: nan-tw | |
| split: test | |
| args: nan-tw | |
| metrics: | |
| - name: Wer | |
| type: wer | |
| value: 1.005720823798627 | |
| <!-- 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. --> | |
| # mms-1b-l1107-nan | |
| This model was trained from scratch on the common_voice_11_0 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5084 | |
| - Wer: 1.0057 | |
| ## 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: 0.001 | |
| - train_batch_size: 32 | |
| - 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: 100 | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 12.5725 | 2.0 | 100 | 1.8002 | 1.0 | | |
| | 1.5002 | 4.0 | 200 | 1.5084 | 1.0057 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |